Talk Python To Me
By Michael Kennedy (@mkennedy)
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Subscribers: 2347
Reviews: 4
Nov 7, 2018
one of my absolute favourite podcasts even though im almost non-skilled im python, always feel inspired listening to this podcast !
Morten
Oct 3, 2018
:)
Wilber H
Sep 19, 2018
I wish there was a Python that talks about teaching Python. For reinforcement purposes while driving. Don't get me wrong, conversations are great but some tracks catered to just teaching would be great.
Travis W.
Aug 31, 2018
Been listening to this podcast for over 6 months now and all I can say is that I'm continually pleased with every episode!
Description
Talk Python to Me is a weekly podcast hosted by developer and
entrepreneur Michael Kennedy. We dive deep into the popular packages
and software developers, data scientists, and incredible hobbyists doing
amazing things with Python. If you're new to Python, you'll quickly learn
the ins and outs of the community by hearing from the leaders. And if
you've been Pythoning for years, you'll learn about
your favorite packages and the hot new ones coming out of open source.
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#283 Web scraping, the 2020 edition
48:34
Web scraping is pulling the HTML of a website down and parsing useful data out of it. The use-cases for this type of functionality are endless. Have a bunch of data on governmental sites that are only listed online in HTML without a download? There's an API for that! Do you want to keep abreast of what your competitors are featuring on their site? There's an API for that. Need alerts for changes on a website, for example enrollment is now open at your college and you want to be first to get in and avoid the 8am Monday morning course slot? There's an API for that.
That API is screen scraping and Attila Tóth from ScrapingHub is here to tell us all about it. Links from the show Attila Tóth on LinkedIn: slinkedin.com Scrapy project: scrapy.org Scrapinghub on Twitter: @scrapinghub Scrapinghub: scrapinghub.com cookiecutter template for Scrapy projects: github.com Splash: headless browser designed specifically for web scraping: scrapinghub.com/splash Awesome Web Scraping list: github.com Talk Python episode 50 on web scraping: talkpython.fm How Web Scraping is Revealing Lobbying and Corruption in Peru: blog.scrapinghub.com Web Data Extraction Summit event: extractsummit.io Sponsors Talk Python Training Linode |
Sep 23, 2020 | ||||
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#282 pre-commit framework
59:33
Git hook scripts are useful for identifying simple issues before committing your code. Hooks run on every commit to automatically point out issues in code such as trailing whitespace and debug statements. By pointing these issues out before code review, this allows a code reviewer to focus on the architecture of a change while not wasting time with trivial style nitpicks.
As we created more libraries and projects we recognized that sharing our pre-commit hooks across projects is painful. That's why I'm happy to welcome Anthony Sottile to the show to discuss pre-commit, a framework for managing and maintaining multi-language pre-commit hooks. Links from the show Anthony at Twitter: @codewithanthony pre-commit: pre-commit.com pre-commit continuous integration: pre-commit.ci pre-commit hooks: pre-commit.com/hooks.html pre-commit on GitHub: github.com shhgit secret discovery project: github.com babi editor: github.com Twitch stream: twitch.tv Anthony on GitHub: github.com Sponsors Talk Python Training Linode |
Sep 17, 2020 | ||||
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#281 Python in Car Racing
01:00:14
I love to bring you stories of Python being used in amazing places outside the traditional tech silos of pure web development and data science.
On this episode, you'll meet Robert "Kane" Replogle, who works on the simulation and test software at Richard Childress Racing. The NASCAR team that just finished #1 and 2 in at the Texas Motor Speedway. You'll hear how Python is allowing them to model car behavior, air flow, and more much faster than others using outdated tools.  Watch the hot lap around Brands Hatch Links from the show Kane on LinkedIn: slinkedin.com Kane on Twitter: @ReplogleRk Richard Childress Racing: rcrracing.com Windshear, the 180 mph tunnel: windshearinc.com NASCAR: nascar.com blackcellmagic package: pypi.org/project/blackcellmagic StreamLit: streamlit.io Sponsors Linode SonarQube linting tools Talk Python Training |
Sep 09, 2020 | ||||
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#280 Python and AI in Journalism
55:51
If there has ever been a time in history that journalism is needed to shine a light on what's happening in the world, it's now. Would it surprise you to hear that Python and machine learning are playing an increasingly important role in discovering and bringing us the news? On this episode, you'll meet Carolyn Stansky, a journalist and developer who's been researching this intersection.
Links from the show Carolyn on Twitter: @carolstran Carolyn on LinkedIn: slinkedin.com Carolyn's site: workwithcarolyn.com Carolyn's talk: How AI is enhancing journalism: vimeo.com Examples of AI / automation in use Quakebot: bit.ly/quakebot-code LA Homicide Tracker: homicide.latimes.com reportermate: github.com Buzzfeed Finding and tracking secret spy planes: bit.ly/buzzfeed-spy-planes NY Times comment moderation: bit.ly/nyt-comments Al Jazzira: Drones in warzones: bit.ly/fmls-keynote Tools Qz.ai - Quartz AI Studio, focused on helping smaller papers and journalists: qz.ai Facets: github.io Google News Initiative: bit.ly/google-ni Newspaper3k Package: newspaper.readthedocs.io FiveThirtyEight: fivethirtyeight.com Google News and Australia fight: bbc.com Twitter thread on American news overwhelming other countries: twitter.com Sponsors Brilliant Talk Python Training |
Sep 05, 2020 | ||||
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#279 Modern Python Developer's Toolkit
01:01:29
Python is quick and easy to learn. And yet, there is a massive gap between knowing the common aspects of the language (loops, variables, functions, and so on) and how to write a well-factored application using modern tools and libraries. That's where learning Python is a never-ending journey.
Sebastian Witowski is here to give us his take on a modern Python developer's toolkit. There are a bunch of great tips in store for us. Links from the show Sebastian on Twitter: @SebaWitowski The tutorial recording from PyCon: youtube.com Sebastian’s website: switowski.com Workshop resources site: pycon.switowski.com Writing Faster Python talk: youtube.com Hugo Static Site Theme: gohugo.io Announcements at Talk Python Python Memory Course: talkpython.fm/mem Excel to Python and Pandas Course: talkpython.fm/excel Excel to Python Webcast: talkpython.fm/excel-webcast Team Cohorts: talkpython.fm/cohorts Sponsors Talk Python Training Linode |
Aug 29, 2020 | ||||
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#278 Teach kids Python with real programming and fun games at Code Combat
01:05:28
If there is one message I've been pushing across all of the Talk Python episodes, it's that programming is a superpower. Rather than all of us abandoning what we're interested in and becoming CS majors, we can take our passion or expertise and 10x it with a little programming skill.
In that case, we should be teaching kids fluency in programming at a younger age. And yet, almost every platform or example meant to do so pulls its punches. We'll teach kids programming concepts but not code itself. That's a bridge too far. But it's not! That's why I'm excited about Code Combat. It's an online coding platform that uses real Python syntax to guide your hero, visually, through a dungeon full of challenges. Yet the editor and customized error messages mean this is approachable for kids before they can even type reliably. On this episode, we'll meet Nick Winter, one of the cofounders of Code Combat. There's a lot of philosophy behind the tool and technology to make it kid-friend and real Python at the same time. Oh, and it's running Python in the browser. Links from the show CodeCombat: codecombat.com On Twitter Code Combat: @CodeCombat Nick Winter: @nwinter Nick's website: nickwinter.net Code Combat on GitHub: github.com/codecombat Brett's learnable programming talk: worrydream.com Ozaria: ozaria.com Sponsors Talk Python Training Linode |
Aug 21, 2020 | ||||
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#277 10 tips every Django developer should know
01:11:57
We recently covered 10 tips that every Flask developer should know. But we left out a pretty big group in the Python web space: Django developers! And this one is for you. I invited Bob Belderbos, who's been running his SaaS business on Python and Django for several years now, to share his tips and tricks.
The 10 tips
Links from the show Bob on Twitter: @bbelderbos Code Challenges Platform: codechalleng.es PyBites: pybit.es Django admin: docs.djangoproject.com Django admin cookbook: books.agiliq.com Use some Django ORM magic to get the most common first names: twitter.com/pybites Django custom manager: riptutorial.com Debug toolbar: django-debug-toolbar.readthedocs.io select_related: docs.djangoproject.com Extending the user model / working with signals / @receiver: simpleisbetterthancomplex.com Class-based views: docs.djangoproject.com Comparing class and function-based views: github.com/talkpython/100daysofweb Example of class-based views: github.com/talkpython/100daysofweb Django command template: gist.github.com Django middleware example: gist.github.com Config settings management: python-decouple: pypi.org dj-database-url: pypi.org Useful template tags and filters: docs.djangoproject.com for-empty: gist.github.com is_new filter example: gist.github.com Asynchronous Tasks with Django and Celery: testdriven.io Celery debugging - CELERY_ALWAYS_EAGER: twitter.com/pybites secure.py: github.com/TypeError/secure.py django-tinymce: github.com/aljosa Extra tools Michael mentioned BeeKeeper Studio: beekeeperstudio.io SimpleMDE: simplemde.com Human time to Python parse string site (the one I forgot): pystrftime.com Sponsors Linode Talk Python Training |
Aug 10, 2020 | ||||
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#276 Geekout: Life in the solar system and beyond
01:14:15
We're back with another GeekOut episode. Richard Campbell, a developer and podcaster who also dives deep into science and tech topics, is back for our second GeekOut episode. Last time we geeked out about the real science and progress around a moon base. This time it's why is there life on Earth, where could it be or have been in the solar system, and beyond.
In case you didn't catch the first GeekOut, episode 253, this one is more of a general science and tech episode. I love digging into the deep internals of all the tools of the Python space, but given all that is going on in the world, I thought it'd be fun to take a step back and just enjoy some fun geekery and give you all something to just sit back and let your mind dream. Links from the show Richard on Twitter: @richcampbell All Richard's GeekOut Episodes: geekout.show Moonbase Geekout Episode: talkpython.fm/253 High Altitude Venus Operational Concept (HAVOC): sacd.larc.nasa.gov New Horizons: solarsystem.nasa.gov The Planets: Saturn - NOVA documentary (Cassini): pbs.org Mission to Jupiter - Galileo: jpl.nasa.gov Sponsors Brilliant Talk Python Training |
Aug 06, 2020 | ||||
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#275 Beautiful Pythonic Refactorings
55:04
Do you obsess about writing your code just the right way before you get started? Maybe you have some ugly code on your hands and you need to make it better. Either way, refactoring could be your ticket to happier days! On this episode, we'll talk through a powerful example of iteratively refactoring some code until we eventually turn our ugly duckling into a Pythonic beauty.
Conor Hoekstra is our guest on this episode to talk us through refactoring some web scraping code. Links from the show The PyCon talk: youtube.com Presentation source code: github.com/codereport Conor on Twitter: @code_report Youtube channel: youtube.com/codereport Perf example exceptions vs. test: gist.github.com/mikeckennedy PyCon Online: us.pycon.org/2020/online RAPIDS AI project: rapids.ai Slides from presentation (with 9 refactoring steps): github.com/codereport Talk Python episode on Sourcery: talkpython.fm/266 pip for venv only environment variable PIP_REQUIRE_VIRTUALENV: docs.python-guide.org Sponsors Talk Python Training |
Aug 01, 2020 | ||||
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#274 Profiling data science code with FIL
58:12
Do you write data science code? Do you struggle loading large amounts of data or wonder what parts of your code use the maximum amount of memory? Maybe you just want to require smaller compute resources (servers, RAM, and so on).
If so, this episode is for you. We have Itamar Turner-Trauring, creator of the Python data science memory profiler FIL here to talk memory usage and data science. Links from the show Itamar on twitter: @itamarst FIL: pythonspeed.com Python Bytes coverage of FIL: pythonbytes.fm Video: Small Big Data: using NumPy and Pandas when your data doesn't fit in memory: youtube.com Software Engineering for Data Scientists Article: pythonspeed.com Python Tutor: pythontutor.com Weak references: docs.python.org memory_profiler package: github.com Austin profiler: github.com WSL2 on Windows: pbpython.com/wsl-python.html Sponsors Linode Talk Python Training |
Jul 24, 2020 | ||||
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#273 CoCalc: A fully colloborative notebook development environment
55:06
Everyone in the Python space is familiar with Notebooks these days. One of the original notebook environments was SageMath. Created by William Stein, and collaborators, it began as an open-source, Python-based, computational environment focused on mathematicians.
It has since grown into a full-blown company and has become a proper collaborative environment for things like Jupyter notebooks, Linux-backed Bash shells, and much more. Think Google Docs but across all these facets of development in your browser. We welcome back William Stein to give us an update on his journey from professor to entrepreneur building CoCalc along the way. Links from the show William on Twitter: @wstein389 CoCalc: cocalc.com Episode 59 about SageMath: talkpython.fm/59 Comparing CoCalc to other products: cocalc.com Examples/Gallery: share.cocalc.com SageMath: sagemath.org X11 server: xpra.org Sponsors Linode Talk Python Training |
Jul 18, 2020 | ||||
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#272 No IoT things in hand? Simulate them with Device Simulator Express
51:47
Python is one of the primary languages for IoT devices. With runtimes such as CircuitPython and MicroPython, they are ideal for the really small IoT chips.
Maybe you've heard of the Circuit Playground Express, BBC micro:bit, or the fancy Adafruit CLUE. They aren't too expensive (ranging from $25 to $50 each). But for large groups such as classrooms, this can be a lot of money. Moreover, getting your hands on these devices can sometimes be tricky as well. With an extension for VS Code called Device simulator express, you can have instant access to all three (virtually of course). This cool extension adds a visual emulator as well as the native interactions such as buttons and temperature sensors. Get your IoT on without a real device using VS code today. Let's meet the most recent team behind this project: Guests * Andrea Mah * Sayyeda Mussa * Vandy Liu * Xuan-Nam Kevin Nguyen Links from the show Device simulator express: microsoft.com Source code: github.com Makecode: microsoft.com Meet the team (short video intro): youtu.be Overview video: youtu.be Devices Circuit Playground Express: adafruit.com CLUE: adafruit.com BBC micro:bit: microbit.org Sponsors Linode Talk Python Training |
Jul 12, 2020 | ||||
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#271 Unlock the mysteries of time, Python's datetime that is!
01:04:33
Time is a simple thing, right? And working with it in Python is great. You just import datetime and then (somewhat oddly) use the datetime class from that module.
Oh except, there are times with timezones, and times without. And why is there a total_seconds() but not total_minutes(), hours() or days() on timedelta? How about computing the number of weeks? What if you wanted to iterate over the next 22 workdays, skipping weekends? Ok, we'd better talk about time in Python! Good thing Paul Ganssle is here. He's a core developer who controls time in CPython. Links from the show Talk Python Training Humble Bundle: humblebundle.com Paul on Twitter: @pganssle Paul's Blog: blog.ganssle.io Paul's Website: ganssle.io Datetime blog posts pytz: The fastest footgun in the West: blog.ganssle.io Stop using utcnow and utcfromtimestamp: blog.ganssle.io A curious case of non-transitive datetime comparison: blog.ganssle.io Semantics of timezone-aware datetime arithmetic: blog.ganssle.io PEPs PEP 495: Local time disambiguation: python.org PEP 615: Support for the IANA Time Zone Database in the Standard Library: python.org zoneinfo documentation in Python 3.9: docs.python.org backports.zoneinfo: pypi.org pytz_deprecation_shim: readthedocs.io Extra libraries dateutil: readthedocs.io break-my-python: pypi.org arrow: readthedocs.io pendulum: pendulum.eustace.io Indiana Time Zones: google.com Sponsors Brilliant Talk Python Training |
Jul 04, 2020 | ||||
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#270 Python in supply chains: oil rigs, rockets, and lettuce
00:59:20
On this episode, we are going to weave a thread through three different areas of Python programming that at first seem unlikely to have much in common. Yet, the core will be the same throughout. I think this is a cool lesson to learn as you get deeper into programming and a great story to highlight it.
We are going to meet Ravin Kumar who wrote Python code and data science tooling for oil rig tool manufacturer, a rocket company, and a hip multilocation restaurant chain. Links from the show Ravin on Twitter: @canyon289 PyMC3: pymc.io Arviz project: arviz-devs.github.io/arviz pystan project: pystan.readthedocs.io NumFocus: numfocus.org Bayesian Decision Making: canyon289.github.io open-aerospace project: open-aerospace.github.io SweetGreen: sweetgreen.com Get notified when Bayesian Computation In Python is out: docs.google.com/forms Bayesian Analysis with Python Book: packtpub.com Sponsors Sentry Error Monitoring, Code TALKPYTHON Linode Talk Python Training |
Jun 25, 2020 | ||||
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#269 HoloViz - a suite of tools for Python visualization
55:57
The toolchain for modern data science can be intimidating. How do you choose between all the data visualization libraries out there? How about creating interactive web apps from those analyses? On this episode, we dive into a project that attempts to bring the whole story together: HoloViz.
HoloViz is a coordinated effort to make browser-based data visualization in Python easier to use, easier to learn, and more powerful. And we have Philipp Rudiger from HoloViz here to guide us through it. Links from the show Philipp on Twitter: @PhilippJFR HoloViews on Twitter: @HoloViews Panel on Twitter: @Panel_org Datashader on Twitter: @datashader Examples: examples.pyviz.org HoloViz tutorial: holoviz.org Panel website: panel.holoviz.org HoloViews website: holoviews.org GeoViews website: geoviews.org Project Discourse: discourse.holoviz.org PyData Berlin talk: youtube.com Census example: examples.pyviz.org/... Sponsors Brilliant Datadog Talk Python Training |
Jun 19, 2020 | ||||
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#268 Analyzing dozens of notebook environments
54:24
Are you using interactive notebooks for your data exploration or day-to-day programming? What environment do you use? Was it Jupyter and now you've made the move to JupyterLab? That's a great choice. But did you know there are more environments out there to choose from and compare? Have you heard of Callisto or Iodide? How about CoCalc or PolyNote? That's just the tip of the iceberg!
That's why I'm happy to have Sam Lau and Philip Guo here to share their research comparing and categorizing over 60 notebook environments. Links from the show Sam on Twitter: @samlau95 Philip's site: pgbovine.net The paper: pgbovine.net/publications.htm PDF download: computational-notebooks-design-space_VLHCC-2020.pdf NBInteract: nbinteract.com NBStripout: pypi.org/project/nbstripout Audio live coding: foxdot.org NBDev: github.com/fastai/nbdev PyIodide episode: talkpython.fm Carnets: holzschu.github.io/Carnets_Jupyter Sponsors Linode Sentry Error Monitoring, Code TALKPYTHON Talk Python Training |
Jun 13, 2020 | ||||
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#267 15 amazing pytest plugins
53:34
Do you write tests for your code? You probably should. And most of the time, pytest is the industry standard these days. But pytest can be much more than what you get from just installing it as a tool.
There are many amazing plugins that improve pytest in many aspects. That's why I invited Brian Okken to the show to tell us about his favorites. Listen in and your Python testing will be faster, stronger, and more beautiful! Links from the show Brian Okken: @brianokken Brian's pytest book: amazon.com Test & Code podcast: testandcode.com Test & Code 104: Top 28 pytest plugins: testandcode.com/104 The list of plugins pytest-sugar: github.com/Teemu/pytest-sugar pytest-cov: pypi.org/project/pytest-cov pytest-stress: github.com/pytest-dev/pytest-stress pytest-repeat: github.com/pytest-dev/pytest-repeat pytest-instafail: pypi.org/project/pytest-instafail pytest-metadata: github.com/pytest-dev/pytest-metadata pytest-randomly: github.com/pytest-dev/pytest-randomly pytest-xdist: pypi.org/project/pytest-xdist pytest-flake8: github.com/tholo/pytest-flake8 pytest-timeout: pypi.org/project/pytest-timeout pytest-spec: pypi.org/project/pytest-spec pytest-picked: github.com/anapaulagomes/pytest-picked pytest-freezegun: github.com/ktosiek/pytest-freezegun pytest-check: github.com/okken/pytest-check fluentcheck: github.com/csparpa/fluentcheck Sponsors Linode Sentry Error Monitoring, Code TALKPYTHON Talk Python Training |
Jun 06, 2020 | ||||
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#266 Refactoring your code, like magic with Sourcery
57:05
Refactoring your code is a fundamental step on the path to professional and maintainable software. We rarely have the perfect picture of what we need to build when we start writing code and attempts to over plan and overdesign software often lead to analysis paralysis rather than ideal outcomes.
Join me as I discuss refactoring with Brendan Maginnis and Nick Thapen as well as their tool, Sourcery, to automate refactoring in the popular Python editors. Links from the show Guests Brendan Maginnis: @brendan_m6s Nick Thapen: @nthapen Sourcery Sourcery: sourcery.ai Sourcery on Twitter: @sourceryai VS Code and PyCharm Plugins: sourcery.ai/editor GitHub Bot: sourcery.ai/github For an instant demo ⭐ this repo, and Sourcery will refactor your most popular Python repo: github.com/sourcery-ai/sourcery Python Refactorings article: sourcery.ai/blog Nuitka Talk Python episode: talkpython.fm Nuitka site: github.com Gilded Rose Kata: github.com Sponsors Datadog Linode Talk Python Training |
May 29, 2020 | ||||
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#265 Why is Python slow?
01:03:26
The debate about whether Python is fast or slow is never-ending. It depends on what you're optimizing for: Server CPU consumption? Developer time? Maintainability? There are many factors. But if we keep our eye on pure computational speed in the Python layer, then yes, Python is slow.
In this episode, we invite Anthony Shaw back on the show. He's here to dig into the reasons Python is computationally slower than many of its peer languages and technologies such as C++ and JavaScript. Links from the show Anthony's PyCon Talk: youtube.com N-body problem example: github.com HPy project: github.com Austin profiler: github.com Prior episodes: #240: A guided tour of the CPython source: talkpython.fm #214: Dive into CPython 3.8: talkpython.fm #168: 10 Python security holes: talkpython.fm Sponsors Brilliant Sentry Error Monitoring, Code TALKPYTHON Talk Python Training |
May 19, 2020 | ||||
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#264 10 tips every Flask developer should know
01:08:49
Are you a web developer who uses Flask? It has become the most popular Python web framework. Even if you have used it for years, I bet we cover at least one thing that will surprise you and make your Flask code better.
Join me as I speak with Miguel Grinberg about his top 10 list for tips and tricks in the Flask world. They're great! The 10 tips
Links from the show Miguel on Twitter: @miguelgrinberg Miguel's blog: blog.miguelgrinberg.com python-dotenv package: pypi.org httpie package: httpie.org Quart: pgjones.gitlab.io Talk Python episode on Quart: talkpython.fm secure.py package: github.com Sponsors Sentry Error Monitoring, Code TALKPYTHON Linode Talk Python Training |
May 12, 2020 | ||||
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#263 SEO for developers
01:02:35
As developers and technologists, it's easy to think that powerful and unique ideas will percolate to the top. If we build something amazing, enthusiastic users will find and share our creations.
Sometimes this happens. But more often, success is an iceberg, on so many levels. We are going to look at one of those icebergs on this episode. Join me and Cristian Medina as we discuss SEO, search engine optimization, for developers. Some of your search ranking is out of your control, but as you will see, there are many tools in the developer's toolbox that will directly affect your search rank. Let's dive in! Links from the show Cris on Twitter: @tryexceptpass tryexceptpass: tryexceptpass.org The Beginner's Guide to SEO: moz.com webassets Python bundler: pypi.org PageSpeed Insights: developers.google.com JSON-LD decriptors and schema.org: moz.com Imageoptimz: imageoptim.com Google Search Console: search.google.com Twitter Card Validator: cards-dev.twitter.com Sponsors Kite AI Autocomplete Linode Talk Python Training |
May 06, 2020 | ||||
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#262 Build a career in data science
01:11:17
Has anyone told you that you should get into data science? Have you heard it's a great career? In fact, data scientist is the best job in America according to Glassdoor's 2018 rankings.
That's great. But how do you get a career in data science? Once you land that first job, how do you find the right fit? How do you find the right company? And how do you get more deeply involved in the community? I have brought two great guests, both highly successful data scientists, on the show today who have been thinking deeply about this. Jacqueline Nolis and Emily Robinson are here to give you real-world, actionable advice on getting into this rewarding career. Guests Jacqueline Nolis (left) and Emily Robinson (right) Links from the show Emily on Twitter: @robinson_es Jacqueline on Twitter: @skyetetra Data Science Careers book (choose your version!) Professional: datascicareer.com Cool: bestbook.cool Book discount code at Manning: podtalkpython19 Jacqueline’s offensive license plate project: github.com Emily’s Pokémon project: hookedondata.org PyJanitor package: pyjanitor.readthedocs.io MissingNo package: github.com Sponsors Kite AI Autocomplete Linode Talk Python Training |
May 01, 2020 | ||||
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#261 Monitoring and auditing machine learning
01:00:42
Traditionally, when we have depended upon software to make a decision with real-world implications, that software was deterministic. It had some inputs, a few if statements, and we could point to the exact line of code where the decision was made. And the same inputs lead to the same decisions.
Nowadays, with the rise of machine learning and neural networks, this is much more blurry. How did the model decide? Has the model and inputs drifted apart, so the decisions are outside what it was designed for? These are just some of the questions discussed with our guest, Andrew Clark, on this episode of Talk Python To Me. Links from the show Andrew on Twitter: @aclarkdata1 Andrew on LinkedIn: linkedin.com Monitaur: monitaur.ai scikit-learn: scikit-learn.org networkx: networkx.github.io Missing Number Package: github.com alibi package: github.com shap package: github.com aequitas package: github.com audit-ai package: github.com great_expectations package: github.com Sponsors Linode Reuven's Weekly Python Exercises Talk Python Training |
Apr 25, 2020 | ||||
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#260 From basic script to interactive data sci app with Streamlit
00:59:25
If you work on the data science or data visualization side of Python, you may have come to it from a scripting side of things. Writing just a little Python, using its magical libraries, with little structure or formalism to build a powerful analysis tool that runs in the terminal or maybe a jupyter notebook.
What if you could take that same code, sprinkle in just a bit of a simple API, and turn it into a fast and dynamic single page application allowing your users to dive into the visualizations on the web? Well, that's basically what the folks over at Streamlit created! We'll dive into it with one of the creators, Adrien Treuille. Links from the show Adrien on Twitter: @myelbows Streamlit on Twitter: @Streamlit Self-driving car demo: github.com Roadmap: streamlit.io Gallery of apps Gallery: streamlit.io/gallery Face-GAN explorer: streamlit.io Geographic data browser: streamlit.io Real-time object detection: streamlit.io Deep Dream network debugger: streamlit.io Altair visualization package: altair-viz.github.io Sponsors Linode Reuven's Ace Interviews Course Talk Python Training |
Apr 18, 2020 | ||||
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#259 From Academia to Tech Industry and Python
01:00:58
Did you come to Python from the academic side of the world? Maybe got into working with code for research or lab work and found you liked coding more than your first field of study. Whatever the reason, many people make the transition from the academic world over to tech and industry.
On this episode, you'll meet three women who have made this transition, and you'll hear their stories. I'm excited to speak with Jennifer Stark, Kaylea Haynes, and Eslene Bikoumou about their journey to the tech field. Links from the show Guests Kaylea on Twitter: @kayleahaynes Jennifer on Twitter: @_JAStark Eslene on Twitter: @eslene_girl7 VADER Sentiment Analysis: github.com LAD Bible: ladbible.com Peak AI: peak.ai PyData Manchester: meetup.com Her plus Data Manchester Meetup: meetup.com Cookiecutter for data-driven journalism: github.com Sponsors Datadog Linode Talk Python Training |
Apr 09, 2020 | ||||
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#258 Thriving in a remote developer environment
01:07:30
If you are listening to this episode when it came out, April 4th, 2020, there's a good chance you are listening at home, or on a walk. But it's probably not while commuting to an office as much of the world is practicing social distancing and working from home. Maybe this is a new experience, brought upon quickly by the global lockdowns, or maybe it's something you've been doing for awhile.
Either way, being effective while working remotely, away from the office, is an increasingly valuable skill that most of us in the tech industry have to quickly embrace. On this episode, I'll exchange stories about working from home with Jayson Phillips. He's been writing code and managing a team from his home office for years and has brought a ton of great tips to share with us all. Links from the show Jayson on Twitter: @_jjphillips Jayson's twitter thread on remote work: twitter.com Clockwise: getclockwise.com Calendly: calendly.com Ideas on Making Remote Work... Work For You: jaysonjphillips.com [Book] Remote - Office Not Required: amazon.com Sponsors Brilliant Linode Talk Python Training |
Apr 04, 2020 | ||||
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#257 Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy
00:52:23
With radio astronomy, we can look across many light-years of distance and see incredible details such as the chemical makeup of a given region. Kevin Vinsen and Rodrigo Tobar from ICRAR are using the world's fastest supercomputer along with some sweet Python to process the equivalent of 1,600 hours of standard-definition YouTube video per second.
Links from the show Kevin on Twitter: @KevinVinsen_ ICRAR on Twitter: @ICRAR SKA Telscope: skatelescope.org ICRAR ORG: icrar.org Video showing data flow and scale: vimeo.com Summit supercomputer: wikipedia.org SKA Amazing facts: skatelescope.org DALiuGE execution framework: github.com ijson: github.com ZeroMQ: zeromq.org ZeroRPC: www.zerorpc.io Sponsors Linode Clubhouse Talk Python Training |
Mar 28, 2020 | ||||
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#256 Click to run your notebook with Binder
00:57:26
Have you come across a GitHub repo with a Jupyter notebook that has a "Run in Binder" button? It seems magical. How does it know what dependencies and external libraries you might need? Where does it run anyway?
Like all technology, it's not magic. It's the result of hard work by the people behind mybinder.org. On this episode, you'll meet Tim Head, who has been working to bring Binder to us all. Take a look inside mybinder.org, how it works, and the history of the project. Links from the show Tim Head: @betatim Binder: mybinder.org BinderHub: binderhub.readthedocs.io Binder Costs Notebook: nbviewer.jupyter.org The Reproducible Execution Environment Specification: repo2docker.readthedocs.io Uncertainties Package: pythonhosted.org scikit-learn gallery have binder button: scikit-learn.org Using VS Code in Binder Environment: github.com Sponsors Linode Talk Python Training |
Mar 20, 2020 | ||||
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#255 Talking to cars with Python
00:51:51
Modern cars have become mobile computer systems with many small computers running millions of lines of code. On this episode, we plug a little Python into those data streams.
You'll meet Shea Newton, who is a Python developer who has worked on autonomous cars and is currently at ActiveState. Links from the show Shea on Twitter: shnewto Video presentation of PDX Talk: youtube.com Shea's source for PDX Python talk: github.com DonkeyCar: donkeycar.com Roomba Programming: github.com Sponsors Datadog Clubhouse Talk Python Training |
Mar 14, 2020 | ||||
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#254 A Python mentorship story
01:07:26
How do you go from poking around at Python code to actually solving real problems, the right way?
There are many paths. The longest one probably is to get a 4-year CS degree. Maybe faster, but pricy as well, is a solid in-person developer bootcamp. Have you considered reaching out to the community to find a mentor? Many Python meetups have project nights where folks who could help will be attending. If you're up for giving back, maybe you could become a mentor too. That's what this episode is about. We'll hear from two former guests of Talk Python, Rusti Gregory and Doug Farrell. They teamed up and are back to share their mentorship story! Links from the show Guests Rusti Gregory: talkpython.fm Doug Farrell: @writeson Doug's Real Python articles: realpython.com Code Mentor Program: codementor.io D-Tale Project: github.com Let Me Google That For You Example: lmgtfy.com JustPy Web Project: justpy.io Doug's Well-Grounded Python Dev Book: manning.com Sponsors Brilliant Linode Talk Python Training |
Mar 06, 2020 | ||||
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#253 Moon base geekout
01:22:48
This episode is a unique one. On this episode, I've invited Richard Campbell and developer and podcaster who also dives deep into science and tech topics. We are going to dig into his geekout series and spend some time talking realistically about moonbases and space travel. I think you're really going to enjoy the conversation. But I would love to hear, either way, if you like this minor diversion from pure Python topics (although we do talk some Python and programming). We can do more like this in the future if you all enjoy listening to these as much as I enjoyed making them. Links from the show Richard Campbell: @richcampbell GeekOut Episodes: geekout.show Video of Richard's NDC Presentation: youtube.com The Race for Space album by Public Service Broadcasting: youtube.com Sponsors Clubhouse Linode Talk Python Training |
Feb 25, 2020 | ||||
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#252 What scientific computing can learn from CS
01:10:58
Did you come into Python from a computational science side of things? Were you just looking for something better than Excel or Matlab and got pulled in by all the Python has to offer?
That's great! But following that path often means some of the more formal practices from software development weren't part of the journey. On this episode, you'll meet Martin Héroux, who does data science in the context of academic research. He's here to share his best practices and lessons for data scientists of all sorts. Links from the show Neuroscience Research Australia: neura.edu.au Martin Héroux: researchgate.net Errors in science: I make them do you? Part 3: scientificallysound.org PyPI Packages DABEST: pypi.org/project/dabest PSYCHOPY: pypi.org/project/PsychoPy Spreadsheet Blunders 12 of the Biggest Spreadsheet Fails: blogs.oracle.com Common spreadsheet errors: datacarpentry.org Best Practices for Scientific Computing: journals.plos.org Good enough practices in scientific computing: journals.plos.org Full episode RSS feed: talkpython.fm/episodes/rss_full_history Springboard bootcamp scholarships [code TALKPYTHONTOME]: talkpython.fm/springboard Sponsors Clubhouse Linode Talk Python Training |
Feb 21, 2020 | ||||
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#251 Building and UX Testing Azure's Python SDK
00:52:44
What does it take to build a Python library that will be used by a large number of developers? This happens all the in open source. Projects take off and become wildly successful.
What if you could sit down with developers using your library and see how they take to it? Well, over on the Azure team, Kate Olszewska and Johan Stenberg do incredible user testing for Azure's Python SDK. Just to give you a taste, imagine a room with a computer, a couple of developers unfamiliar with the API, a one-way mirror, and lots of feedback. Links from the show Kate on Twitter: @OlszewskaKate Johan on Twitter: @johan_stenberg Azure Team on Twitter: @AzureSdk Azure Python SDK on Github: aka.ms/py-sdk Azure SDK Releases: aka.ms/azure-sdk-site Short talk describing our effort and the features: aka.ms/PythonSDKTalk vcrpy package: github.com/kevin1024/vcrpy Sponsors None Clubhouse Talk Python Training |
Feb 13, 2020 | ||||
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#250 Capture over 400x C02 as trees with AI and Python
01:03:07
As the popularity of Python grows, we see it popping up in all sorts of interesting places and projects. On this episode, you'll meet C.K. Sample and Nathan Papapietro from HyperGiant. They are using Python and AI to develop the EOS Bioreactor.
This is a fridge sized box containing water and algae which sequesters a huge amount of C02, as much as 400x as much as an acre of trees. Let's dive into how they are using Python for this cutting-edge project. Links from the show C.K. on Twitter: @cksample HyperGiant on Twitter: @hypergiant EOS Bioreactor: hypergiant.com/green HyperGiant: hypergiant.com Careers at HyperGiant: hypergiant.com/careers Short video on the bioreactor: nowthisnews.com Sponsors Brilliant Linode Talk Python Training |
Feb 08, 2020 | ||||
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#249 Capture the Staff of Pythonic Knowledge in TwilioQuest
00:59:01
Are you learning or helping someone else learn Python, why not make a game out of it? TwilioQuest is a game that doesn't treat you with kid-gloves while teaching you Python. Using your editor of choice, write code on your machine, and still play the game to solve Python challenges.
In this episode, you'll meet Kevin Whinnery and Ryan Kubik from Twilio, who created TwiloQuest. They are here to tell us all about it. Links from the show TwilioQuest: twilio.com/quest/learn/python Ryan on Twitter: @ryrykubes Kevin on Twitter: @kevinwhinnery TwilioQuest on Twitter: @twilioquest Tiled map editor: mapeditor.org Phaser: phaser.io Free game assets: kenney.nl Open Game Art: opengameart.org Sponsors Datadog Linode Talk Python Training |
Jan 30, 2020 | ||||
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#248 Climate change and your Python code
01:16:34
The most critical issue of our time is climate change. Yet, when you think about our carbon impact in the software industry, what comes to mind? Business travel? Commuting to the office so you don't miss filing that TPS report? Yeah, those are bad. But data centers, servers, and our apps consume a substantial portion of the total energy used by modern humans.
In this episode, you'll meet Chris Adams. He has been advocating for a greener software environment and has concrete advice to make your Python program more climate-friendly. The good news is, generally speaking, what we need to do to make our code easier on the planet is the same things we do to make our code faster! Links from the show Chris on Twitter: @mrchrisadams The Green Web Foundation: @greenwebfound ClimateAction.tech: climateaction.tech Slides from Chris' talk: bit.ly/hoc-omg-climate Python profiling tool for co2 emissions: github.com/responsibleproblemsolving ImageOptim macOS app: imageoptim.com/mac Sustainable Web Manifesto: sustainablewebmanifesto.com PageSpeed/Lighthouse: developers.google.com/speed/pagespeed Greenhouse plugin: github.com/thegreenwebfoundation Offset air travel atmosfair: atmosfair.de/en Terrapass: terrapass.com Air travel policy for consultants: cennydd.com/air-travel-policy Greening your tech stack newsletter: bit.ly/hoc-greenstack Chris' Networked based door access control: github.com/mrchrisadams/doord Sponsors Brilliant Datadog Talk Python Training |
Jan 24, 2020 | ||||
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#247 Solo maintainer of open-source in academia
01:05:20
Do you run an open-source project? Does it seem like you never have enough time to support it? Have you considered starting one but are unsure you can commit to it? It's a real challenge.
On this episode, we welcome back Philip Guo, who has been a solo maintainer of the very popular PythonTutor.com project for over 10 years. He has some non-traditional advice to keep your sanity and keep your project going while holding down a busy full-time job. Links from the show Philip on Twitter: @pgbovine Python Tutor: pythontutor.com Philip's website: pgbovine.net Python Tutor on github: github.com Dismissing Python Garbage Collection at Instagram: instagram-engineering.com Threshold Concepts in Computer Programming: blogs.kcl.ac.uk SageMath: sagemath.org Sponsors TideLift Clubhouse Talk Python Training |
Jan 16, 2020 | ||||
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#246 Practices of the Python Pro
01:04:08
When you can call yourself a professional developer? Sure, getting paid to write code is probably part of the formula. But when is your skillset up to that level?
Many folks in the industry suffer from imposter syndrome and other types of uncertainty. Yet, there are real techniques and skills you should know before you meet this bar. Dane Hillard is here to share his take on the practices of the Python pro. We'll discuss concrete steps and abstract design concepts to help your code make the jump to pro level. Links from the show Dane on Twitter: @easyaspython Practices of the Python Pro on Manning (discount: podtalkpython19): manning.com Practices of the Python Pro on Amazon (preorder): amzn.to Mockaroo: mockaroo.com PageSpeed Insights: developers.google.com Beginners and Experts episode: talkpython.fm Sponsors TideLift Linode Talk Python Training |
Jan 09, 2020 | ||||
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#245 Python packaging landscape in 2020
01:01:54
Python is growing incredibly quickly and has found its place in many facets of the developer and computational space. But one area that is still shaky and uncertain is packaging and shipping software to users.
I'm not talking about building reusable libraries and hosting them on PyPI. I'm talking about shipping executable software to non-developers. Take a moment to stop and think about what ways you would send an end-user a program built with Python that they can simply run. It's a bit of a mixed bag, isn't it? On this episode, we welcome back Cristian Medina to run through the state if Python packaging. Links from the show Cris on Twitter: @tryexceptpass tryexceptpass: tryexceptpass.org Russel Keith-Magee keynote & black swans: youtube.com 4 Attempts at Packaging Python as an Executable article: tryexceptpass.org Official Python Docker image: hub.docker.com Docker: docker.com Vagrant: vagrantup.com PyInstaller: pyinstaller.org Briefcase: beeware.org Pex: github.com Shiv: github.com pipx: pypi.org/project/pipx PyOxidixer: gregoryszorc.com Nuitka: nuitka.net Cython: cython.org Flatpak: flatpak.org Snapcraft: snapcraft.io Sponsors TideLift Linode Talk Python Training |
Jan 03, 2020 | ||||
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#244 Top 10 Real Python Articles of 2019
00:59:49
We've come to the end of 2019. Python 2 has just a handful of days before it goes unsupported. And I've met up with Dan Bader from RealPython.com to look back at the year of Python articles on his website. We dive into the details behind 10 of his most important articles from the past year.
Links from the show Dan Bader: @dbader_org The 10 Articles on RealPython.com #1: How to Run Your Python Scripts #2: 13 Project Ideas for Intermediate Python Developers #3: 3 Ways of Storing and Accessing Lots of Images #4: Speed Up Your Python Program With Concurrency #5: Build a Recommendation Engine #6: Your Guide to the Python Print Function #7: How to Write Beautiful Python Code With PEP 8 #8: How to Use Python Lambda Functions #9: How to Stand Out in a Python Interview #10: Inheritance and Composition: A Python OOP Guide Sponsors Linode Brilliant Talk Python Training |
Dec 27, 2019 | ||||
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#243 Python on Windows is OK, actually
00:57:38
We all love the Python language. But it's the 200,000+ packages that actually make Python incredibly useful and productive. But installing these libraries and sometimes even Python itself can vary across platforms. In particular, Windows has had a hard time. Many of the library authors don't use Windows and so don't test their packages on that platform. Tutorial authors often start their tutorial steps by activating a virtual environment with $ source venv/bin/activate. This, of course, doesn't work on Windows. Yet, over 50% of all developers programming in Python do so on Windows.
In this episode, you'll meet Steve Dower. He works at Microsoft and is a Python core developer. He has a bunch of stats for us. But he also has tons of good news on how Python on Windows is getting much better. Links from the show Steve Dower: @zooba Steve's PyCon Talk: youtube.com Michael on .NET Rocks podcast: dotnetrocks.com Python for .NET Developer Course: talkpython.fm/dotnet Sponsors Linode Brilliant Talk Python Training |
Dec 17, 2019 | ||||
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#242 Your education will be live-streamed
00:54:23
Online education has certainly gone mainstream. Developers and companies have finally gotten comfortable taking online courses. Sometimes these are recorded, self-paced courses like we have at Talk Python Training. Other times, they are more like live events in webcast format.
In this episode, you'll meet two guys who are taking the interactivity of online learning up a notch. Brian Clark and Cecil Philip run a weekly event on Twitch where they are live-streaming an interactive Python course. They take questions from 100's of students and dig into the diversions more mainstream online learning simply cannot. Links from the show Brian's Twitch Channel: twitch.tv Cecil on Twitter: @cecilphillip Brian on Twitter: @_clarkio Visual Studio Online: visualstudio.microsoft.com Nina's Python Fundamentals course: frontendmasters.com Sponsors Linode USF Talk Python Training |
Dec 11, 2019 | ||||
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#241 Opal: Full stack health care apps
00:53:23
Open source has permeated much of the software industry. What about health care? This highly regulated and important industry might seem to be the domain of huge specialized software companies.
On this episode, Fred Kingham is here to introduce us to a project called OPAL. It was born out of NHS Hack Days in the UK and is a full-stack web framework for building health care applications. It's based on Django and has a ton of interesting features as a framework in general. Links from the show OPAL website: opal.openhealthcare.org.uk Fred on Twitter: @fredkingham OPAL Tutorial: opal.openhealthcare.org.uk/docs/tutorial NHS Hack Day: nhshackday.com Open source is the only way for Medicine article: medium.com Python for decision-makers webcast: talkpython.fm/python-decision-webcast Python for decision-makers course: talkpython.fm/decision Sponsors Linode USF Talk Python Training |
Dec 07, 2019 | ||||
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#240 A guided tour of the CPython source code
01:00:25
You might use Python every day. But how much do you know about what happens under the covers, down at the C level? When you type something like variable = [], what are the byte-codes that accomplish this? How about the class backing the list itself?
All of these details live at the C-layer of CPython. On this episode, you'll meet Anthony Shaw. He and I take a guided tour of the CPython source code. After this, you won't have to guess what's happening. You can git-clone the CPython source code and see for yourself. Links from the show Anthony on Twitter: @anthonypjshaw Python on Github: github.com RealPython article: realpython.com Memory management in Python article: rushter.com Dismissing Python Garbage Collection at Instagram: instagram-engineering.com Prior episodes with Anthony #180: What's new in Python 3.7 and beyond: talkpython.fm #168: 10 Python security holes and how to plug them: talkpython.fm #155: Practical steps for moving to Python 3: talkpython.fm #132: Contributing to open source: talkpython.fm Sponsors Linode USF Talk Python Training |
Nov 27, 2019 | ||||
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#239 Bayesian foundations
00:57:18
In this episode, we'll dive into one of the foundations of modern data science, Bayesian algorithms, and thinking. Join me along with guest Max Sklar as we look at the algorithmic side of data science.
Links from the show Max on Twitter: @maxsklar Max's podcast on Bayesian Thinking: localmaxradio.com Bayes Theorm: wikipedia.org Simple MCMC sampling with Python: github.com PyMC3 package - Probabilistic Programming in Python: pymc.io Sponsors Linode TideLift Talk Python Training |
Nov 23, 2019 | ||||
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#238 Collaborative data science with Gigantum
01:07:16
Collaborative data science has a few challenges. First of all, those who you are collaborating with might not be savvy enough in the computer science techniques (for example, git and source control or docker and Linux). Second, seeing the work and changes others have made is a challenge too.
That's why Dean Kleissas and his cofounders created Gigantum. It's a platform that runs either locally or in the cloud, spins up data science environments into docker containers seamlessly, and sync collaborative updates from machine to machine. Links from the show Sponsors Linode TideLift Talk Python Training |
Nov 14, 2019 | ||||
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#237 A gut feeling about Python
00:49:40
Let's start with a philosophical question: Are you human? Are you sure? We could begin to answer the question physically. Are you made up of cells that would typically be considered as belonging to the human body?
It turns out we have many ecosystems *within* us. Understanding them is important to our own wellbeing. In this episode, you'll meet Sebastian Proost, who is using Python to study bacteria in our world. Links from the show Group website: raeslab.org TV Coverage on the gut-brain work: youtube.com TedX talk from Jeroen we briefly discussed: youtube.com Sebastian's work on Science Figured Out (in Dutch but the captions/subtitles are in English): sciencefiguredout.be Sebastian on Twitter: @ProostSebastian Sebastian's site: sebastian.proost.science Sebastian on Github: github.com/sepro Tools we mentioned: Cytoscape.js: js.cytoscape.org UltraJSON: pypi.org Sponsors Linode TideLift Talk Python Training |
Nov 06, 2019 | ||||
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#236 Scaling data science across Python and R
01:00:48
Do you do data science? Imagine you work with over 200 data scientists. Many of whom have diverse backgrounds or have come from non-CS backgrounds. Some of them want to use Python. Others are keen to work with R.
Your job is to level the playing field across these experts through technical education and build libraries and tooling that are useful both in Python and R. It sounds like a fun challenge, doesn't it? That's what Ethan Swan and Bradley Boehmke are up to. And they are here to give us a look inside their world! Links from the show Guest: Ethan Swan Website: ethanswan.com Twitter: @eswan18 GitHub: github.com/eswan18 Guest: Bradley Boehmke Website: bradleyboehmke.github.io Twitter: @bradleyboehmke Github: github.com/bradleyboehmke 84.51˚ Company Tech Blog: 8451.com/blog The Uplow'd Podcast: 8451.com/the-uplowd-by-8451-podcast Sponsors Linode TideLift Talk Python Training |
Oct 29, 2019 | ||||
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#235 Python in your Browser with Skulpt
01:00:20
Do you dream of a day when you can write Python in the browser rather than JavaScript? This is no pipe dream! There are several ways to write Python that runs in the browser already.
One of the leaders here is Skulpt. It's not just an experiment but real, powerful web applications with rich client-side code, Python code, are out in the wild and built with Skulpt. We dig into it with Meredydd Luff and Albert-Jan Nijburg on this episode. Links from the show Meredydd on Twitter: @meredydd Albert-Jan on Twitter: @ajpnijburg Skulpt: skulpt.org Skulpt in the wild: Anvil: anvil.works Trinket: trinket.io Code Combat: codecombat.com Meredydd’s talk about Suspensions: anvil.works/blog Albert-Jan’s talk about the Python 3 upgrade: github.com Meredydd’s talk about autocomplete: anvil.works/blog Other browser-based Python impls Brython: brython.info Transcrypt: transcrypt.org Pyodide: alpha.iodide.io Package PyPostal: github.com Sponsors Linode TideLift Talk Python Training |
Oct 23, 2019 | ||||
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#234 Awesome Python Applications
01:04:36
Have you heard of awesome lists? They are well, pretty awesome! Gathering up the most loved libraries and packages for a given topic.
While most lists cover awesome developer tools and libraries, we don't have many examples of awesome *applications* both for use and for examples to draw from. That's why Mahmoud Hashemi decided to create Awesome Python Applications, and you're about to dive headfirst into them! Links from the show Mahmoud on Twitter: @mhashemi Launch announcement for project: sedimental.org Awesome Python Applications site: awesome-python-applications Sponsors Linode TideLift Talk Python Training |
Oct 15, 2019 | ||||
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#233 The Masonite Python Web Framework
1:08:18
Folks, it's not like the old days where there were just a couple of web frameworks for building apps with Python. These days there are many. One of those frameworks is the Masonite web framework created by Joseph Mancuso. Joseph is here today to tell us all about Masonite, what makes it special, it's core value proposition for web developers and much more.
Links from the show Sponsors Linode Datadog Talk Python Training |
Oct 10, 2019 | ||||
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#232 Become a robot developer with Python
1:01:32
When you think about the types of jobs you get as a Python developer, you probably weight the differences between data science and web development.
But did you consider programming robots in Python? And not just toys, but serious, productive machines. It turns out there is a gap in the industry where we could use more Python developers in robotics. That's why I'm happy to have Ricardo Tellez here to give us an overview of the software development side of robotics programming with Python. Links from the show Ricardo Tellez Twitter: @_RicardoTellez_ ROS: ros.org ROS2: github.com/ros2 ROS wiki: wiki.ros.org OpenAI: openai.com Scikit: scikit-learn.org OpenCV: pypi.org/project/opencv-python Tensorflow: tensorflow.org Online free course on Python for robotics: theconstructsim.com The Construct, our company: theconstruct.ai Our online academy for learning ROS fast: robotignite.academy Our Youtube channel for learning ROS: youtube.com Theia editor: theia-ide.org Sublime: sublimetext.com ROS Developers Podcast: theconstructsim.com Python-PCL: github.com Works on my machine certification program: codinghorror.com Azure Sphere: azure.microsoft.com Azure Sphere on Wikipedia: en.wikipedia.org OpenAI Gym: gym.openai.com Rosject example of a live class teaching Python for robotics Code and instructions: rosject.io Video of the live class: youtu.be Video PR1 cleaning room: youtu.be Great Robot Race NOVA Video: youtu.be Sponsors Linode TideLift Talk Python Training |
Oct 04, 2019 | ||||
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#231 Advice for freelancing with Python
1:09:41
Have you ever wanted to get into consulting? Maybe you're seeking the freedom to work on whatever project you'd like or gain more control of your time.
Many folks see consulting and freelancing as the next step in their career. But what do they need to put in place first? What challenges might come their way they won't see coming? Join me as I speak with Reuven Lerner and Casey Kinsen, two successful software freelances about their journey and their advice. Links from the show Reuven on Twitter: @reuvenmlerner Freelancers show: devchat.tv/freelancers Friday Deploy: friday.hirelofty.com Asciimatics Package: pypi.org Lofty Labs: hirelofty.com Reuven’s site: lerner.co.il Reuven’s free, weekly “Better developers” mailing list: lerner.co.il Weekly Python Exercise: WeeklyPythonExercise.com Package: Jupyter: jupyter.org Git autopush: pypi.org Sponsors Linode brighter_ai Talk Python Training |
Sep 25, 2019 | ||||
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#230 Python in digital humanities research
0:57:42
You've often heard me talk about Python as a superpower. It can amplify whatever you're interested in or what you have specialized in for your career.
This episode is an amazing example of this. You'll meet Cornelis van Lit. He is a scholar of medieval Islamic philosophy and woks at Utrecht University in the Netherlands. What he is doing with Python is pretty amazing. Even if you aren't interested in digital humanities and that type of research, the example set by Cornelis is a blueprint for bringing Python into your world and for those around you. I think you'll enjoy this conversion. Links from the show Cornelis’ portfolio: lwcvl.com Cornelis on Twitter: @LWCvL Repo for Among Digitized Manuscripts: github.com/among The Digital Orientalist: digitalorientalist.com Keynote on ‘Getting Ready for the CV Revolution: youtube.com Go2Shell macOS App: zipzapmac.com Sponsors Command Line Heros Linode Talk Python Training |
Sep 18, 2019 | ||||
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#229 Building advanced Pythonic interviews with docassemble
1:00:43
On this episode, we dive into Python for lawyers and a special tool for conducting legal interviews. Imagine you have to collect details for 20,000 participants in a class-action lawsuit. docassemble, a sweet Python web app, can do it for you with easy.
Now, you may be thinking, I'm not a lawyer so this isn't for me. Hang on for a sec. docassemble is actually a general-purpose tool. If you've ever done anything with a site like survey monkey or Google forms, you could do something more advanced with docassemble. Join me as I talk with Jonathan Pyle, creator and maintainer of docassemble. Links from the show Docassemble: docassemble.org Python-docx-template: docxtpl.readthedocs.io Pandoc: pandoc.org Mako: makotemplates.org Celery: celeryproject.org textstat: pypi.org Flask-SocketIO: flask-socketio.readthedocs.io SQLAlchemy: sqlalchemy.org Alembic: pypi.org pattern.en: clips.uantwerpen.be Lettuce: lettuce.it docassemble on Twitter: @docassemble Sponsors Linode Datadog Talk Python Training |
Sep 12, 2019 | ||||
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#228 Hunting bugs and tech startups with Python
0:59:41
What's it's like building a startup with Python and going through a tech accelerator? You're about to find out. On this episode, you'll meet Elissa Shevinsky from Faster Than Light. They are building a static code analysis as a service business for Python and other code bases. We touch on a bunch of fun topics including static code analysis, entrepreneurship, and tech accelerators.
Links from the show Elissa on Twitter: @ElissaBeth Bug Catcher @ Faster Than Light: bugcatcher.fasterthanlight.dev London Tech Stars Cohort: techstars.com Bandit: bandit.readthedocs.io Issues found with Bandit: bandit.readthedocs.io LeanOut Book: amazon.com Sponsors Command Line Heros Linode Talk Python Training |
Sep 04, 2019 | ||||
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#227 Maintainable data science: Tips for non-developers
1:10:48
Did you come to software development outside of traditional computer science? This is common, and even how I got into programming myself. I think it's especially true for data science and scientific computing. That's why I'm thrilled to bring you an episode with Daniel Chen about maintainable data science tips and techniques.
Links from the show Daniel on Twitter: @chendaniely Pandas for Everyone book: amazon.com pyprojroot project: github.com Pyopensci: pyopensci.org Jenny Bryan naming things: speakerdeck.com Jenny Bryan’s code smells: Talk: youtube.com Slides: speakerdeck.com 3 papers that are highly relevant papers: A Quick Guide to Organizing Computational Biology Projects: journals.plos.org Best Practices for Scientific Computing: plos.org Good enough practices in scientific computing: plos.org Sponsors Indeed Rollbar Talk Python Training |
Aug 28, 2019 | ||||
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#226 Building Flask APIs for data scientists
1:09:02
If you're a data scientist, how do you deliver your analysis and your models to the people who need them? A really good option is to serve them over Flask as an API. But there are some special considerations you might keep in mind. How should you structure this API? What type of project structures work best for data science and Flask web apps? That and much more on this episode of Talk Python To Me with guest AJ Pryor.
Links from the show AJ on Twitter: @pryor_aj AJ's blog: alanpryorjr.com AJ's direct email: apryor6@gmail.com AJ on LinkedIn: linkedin.com American Tire Distributors blog: medium.com Job at ATD: Submit your resume to: CoEHiring@ATD-US.com Flaskerize CLI: github.com/apryor6/flaskerize Flask_accepts: github.com/apryor6/flask_accepts Example project using the API structure: github.com/apryor6/flask_api_example See AJ speak @ Data Science North Carolina 2019, 40% off with code AJP40: dsncconf.com Presentation on advanced Flask: speakerdeck.com Original artcile regarding Flask structure: alanpryorjr.com Sponsors Linode Rollbar Talk Python Training |
Aug 23, 2019 | ||||
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#225 Can subinterpreters free us from Python's GIL?
01:10:38
Have you heard that Python is not good for writing concurrent asynchronous code? This is generally a misconception. But there is one class of parallel computing that Python is not good at: CPU bound work running the Python layer.
What's the main problem? It's Python's GIL or Global Interpreter Lock of course. Yet, the fix for this restriction may have been hiding inside CPython since version 1.5: subinterpreters. Join me to talk about PEP 554 with core developer Eric Snow. Links from the show Eric on Twitter: @ericsnowcrntly Eric's "Multi-core Python" project: github.com/ericsnowcurrently/multi-core-python Blog post (2016): ericsnowcurrently.blogspot.com Dave Beazley's talk on concurrency (performance): dabeaz.com PEP 554 ("Multiple Interpreters in the Stdlib"): python.org CSP: wikipedia.org Original notes for PEP 554: docs.google.com CAPI: python.org Python benchmarks: github.com Slides from Language Summit 2018: docs.google.com Slides from Language Summit 2019: docs.google.com Talk at PyCon US 2019, "to GIL or not to GIL: the Future of Multi-Core (C)Python" Video: youtube.com Slides: docs.google.com Sponsors Ting TopTal Talk Python Training |
Aug 12, 2019 | ||||
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#224 12 lessons from 100 days of web
1:08:54
Back in May of 2018, Bob Belderbos, Julian Sequeira, and I started on what would be a 9-month project. We wanted to create a dedicated, 100 days of code course specifically for Python web developers. Much of what we created for that course, we had prior experience with. But much of it was also new to us.
On this episode, we teamed up to distill the lessons, tips, and tools we found interesting on that journey into a quick list of cool tips and techniques. We hope you find some of them new and useful! Links from the show Bob on Twitter: @bbelderbos Julian on Twitter: @juliansequeira #100DaysOfWeb in Python course: training.talkpython.fm #100DaysOfWeb in Python course GitHub repo: github.com/talkpython Axios HTTP library: github.com/axios Quart: pgjones.gitlab.io/quart Alembic: alembic.sqlalchemy.org Vue example: github.com/talkpython/100daysofweb-with-python-course PExpect package: pexpect.readthedocs.io Vue.py: stefanhoelzl.github.io/vue.py Quasar framework: quasar.dev Netlify static hosting: netlify.com PyBites's karmabot: github.com/pybites/karmabo unsync package: asherman.io React.js examples: reactjs.org/community React.js macOS calculator: ahfarmer.github.io/calculator ngrok: ngrok.com Sponsors Ting Linode Talk Python Training |
Aug 05, 2019 | ||||
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#223 Fun and Easy 2D Games with Python
1:03:59
Have you tried to teach programming to beginners? Python is becoming a top choice for the language, but you still have to have them work with the language and understand core concepts like loops, variables, classes, and more. It turns out, video game programming, when kept simple, can be great for this. Need to repeat items in a scene? There's a natural situation to introduce loops. Move an item around? Maybe make a function to redraw it at a location.
On this episode, you'll meet Paul Craven, who created a new 2D game engine for Python just for this purpose called Arcade. And even if you don't teach or aren't learning Python, it's great to play with! Links from the show Paul on Twitter: @professorcraven Arcade library: arcade.academy Intro article on Arcade: opensource.com Tile Map Editor: mapeditor.org Learn programming with Arcade curriculum: learn.arcade.academy Sponsors Indeed Rollbar Talk Python Training |
Jul 30, 2019 | ||||
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#222 Interactive graphs with Bokeh and Python
00:59:19
Do you have data you want to visualize and share? It's easy enough to make a static graph of it. But what if you want to zoom in and highlight different sections? What if you need to rerun your ML model on selected data? Then you might want to consider working with Bokeh. It does this and much more. Join me on this episode where you'll meet Bryan Van de Ven who heads up the Bokeh project.
Links from the show Bryan on Twitter: @bigreddot Bokeh on Twitter: @BokehPlots Bokeh: bokeh.org Bokeh demos: demo.bokeh.org Bokeh's Discourse: discourse.bokeh.org Dask: dask.org microscopium: github.com/microscopium Chartify: github.com/spotify/chartify Holoviews / panel: pyviz.org Light Kurve: github.com/KeplerGO/lightkurve PyOxidizer: gregoryszorc.com/blog Sponsors Ting Linode Talk Python Training |
Jul 26, 2019 | ||||
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#220 Machine Learning in the cloud with Azure ML
00:54:44
On this episode, you'll meet Francesca Lazzeri and hear story how she went from Research Fellow in Economics at Harvard Business School to working on the AI and data science stack on the Azure team.
Links from the show Azure MachineLearningNotebooks: aka.ms/AzureMLServiceGithub Azure Machine Learning Service: aka.ms/AzureMLservice Azure ML for VS Code: aka.ms/AzureMLforVSCode Get started with Azure ML: aka.ms/GetStartedAzureML Seeing AI app: microsoft.com/en-us/ai/seeing-ai Azure/MachineLearningNotebooks on Github: github.com/Azure/MachineLearningNotebooks Open data sets: azure.microsoft.com/en-us/services/open-datasets Azure Machine Learning SDK: docs.microsoft.com/en-us/python/api/overview/azure/ml automl package: pypi.org/project/automl Sponsors Linode Talk Python Training |
Jul 12, 2019 | ||||
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#219 Take a Python tour of duty at the United States Digital Service
01:01:36
In the US, we have a very interesting civil option that is quite new: The United States Digital Service. This service was created by President Obama to fix broken government software systems such as the rocky start of the healthcare system.
Developers and designers can serve in this service for as little as 3 months or as long as 4 years and they pay roughly market rates. It's an interesting model indeed! I'm excited to have David Holmes from the US Digital Service to talk about their projects and how they are using Python to make the government work for the people. Links from the show United States Digital Service: usds.gov Article on hacker news: news.ycombinator.com School Diversity Report: schooldiversityreport.com Veterans Affairs API: developer.va.gov Hack the pentagon: usds.gov Sharing America's Code: code.gov Talk Python's Flask course: training.talkpython.fm Sponsors Local Maximum Podcast Rollbar Talk Python Training |
Jul 05, 2019 | ||||
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#218 Serverless Python functions in Azure
00:47:57
Do you have stateless code that needs to run in the cloud? The clear answer years ago was to create and HTTP, or even, gasp! A SOAP service before then. While HTTP services are still very important, some of this code can move entirely away from the framework that runs it with serverless programming and hosted functions.
On this episode, I meet up with Asavari Tayal to discuss serverless programming in the cloud. Links from the show Asavari on Twitter: @tayalasavari Azure functions on Twitter (really ;) ): @AzureFunctions Azure Functions: functions.azure.com Sponsors Command Line Heros Datadog Talk Python Training |
Jun 25, 2019 | ||||
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#217 Notebooks vs data science-enabled scripts
00:54:25
On this episode, I meet up with Rong Lu and Katherine Kampf from Microsoft while I was at BUILD this year. We cover a bunch of topics around data science and talk about two opposing styles of data science development and related tooling: Notebooks vs Python code files and editors.
The conversation was a lot of fun and I'm looking forward to sharing it with you all. Links from the show Rong on Twitter: davorabbit Katherine on Twitter: @kvkampf Talk Session: Build an AI-powered Pet Detector with Python, TensorFlow, and Visual Studio Code: microsoft.com The Scientific Paper Is Obsolete - Here’s what’s next: theatlantic.com Laser Interferometer Gravitational-Wave Observatory (LIGO): wikipedia.org Sponsors Linode Backlog Talk Python Training |
Jun 21, 2019 | ||||
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#216 Digging into Visual Studio Code
0:53:05
One of the questions I often ask at the end of the show is "When you write some Python code, what editor do you use?" Increasingly the most common answer is Visual Studio Code. Despite it's Windows only namesake, Visual Studio Code is cross-platform and has been gaining a lot of traction.
I was at the Microsoft BUILD conference immediately after PyCon this May. There I got the chance to sit down with Dan Taylor from the VS Code team to discuss what they have been up to with VS Code and Python. Links from the show Dan on Twitter: @qubitron VS Code: code.visualstudio.com Remote Python Development in VS Code: devblogs.microsoft.com Python at Microsoft: aka.ms/pythonblog Sponsors Linode Backlog Talk Python Training |
Jun 14, 2019 | ||||
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#214 Dive into CPython 3.8 and beyond
01:00:22
Python 3.8 is coming soon. It's scheduled for release at the end of October 2019 and you can already download test versions today. Given that Python ships on an 18-month cycle, it's time to talk about what's coming for us Python developers in the fall.
On this episode, I meet up with Łukasz Langa and Anthony Shaw to chat about the highlights of this upcoming version of Python. Also, quick show note, we recorded this on-location in Cleveland at PyCon 2019. There may be a small amount of background noise, but I think you'll barely notice. Links from the show Łukasz Langa: @llanga Anthony Shaw: @anthonypjshaw Anthony's PEP Explorer: tonybaloney.github.io Python 3.8 Release Schedule: python.org Sponsors Microsoft Visual Studio Code Microsoft Azure Talk Python Training |
May 31, 2019 | ||||
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#213 WebAssembly and CPython
0:49:08
On the last episode, we explored Pyodide. A project whose goal is to bring the CPython scientific stack to the browser via WebAssembly.
This time, I meet up with Brett Cannon, one of the more well-known and prolific core developers, to explore what role WebAssembly has for CPython in general and what opportunities exist for Python and WebAssembly at the moment. Links from the show Sponsors microsoft_vscode microsoft_azure Talk Python Training |
May 25, 2019 | ||||
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#212 Python in Web Assembly with Pyodide
0:57:21
It's been said that JavaScript is the assembly language of the web. But should you be should be required to write code in assembly language or JavaScript?
Most platforms have a dizzying array of options for programming them. But not the frontend web world. But that tide may be turning and WebAssembly could be the key to making it happen. With WebAssembly, we have a new compilation target for web browsers. And Michael Droettboom from Mozilla and team have decided to help bring the Python scientific stack to the frontend world with Pyodide. Links from the show Article introducing pyodide: hacks.mozilla.org pyodide: github.com pyodide demo: alpha.iodide.io Dan Callahan call to action around WebAssembly: youtube.com Lean Data Practices: mozilla.org WASM could preempt Docker: twitter.com Can I Use WebAssembly?: caniuse.com Sponsors microsoft_vscode microsoft_azure Talk Python Training |
May 17, 2019 | ||||
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#211 Classic CS problems in Python
1:08:46
Many of you studied computer science at a University to get into programming and your careers. But I bet most of you came through some self-study or some sort of back door into the industry. I count myself among that crowd.
This is one of the true bright spots of our industry. That we can earn our way in without necessarily getting college degrees. But sometimes that academic formalism would come in handy. That's where David Kopec's book comes in super handy. It's an approachable and quick into to CS and that's our topic on this episode. Just for you listeners, 40% discount code: podtalkpython19 Links from the show Sponsors microsoft_vscode microsoft_azure Talk Python Training |
May 11, 2019 | ||||
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#209 Inside Python's new governance model
1:07:25
We all got a bit of a shock to the system when Guido van Rossum decided to step down as the leader and top decider of the Python language and CPython runtime. This happened due to many factors but was precipitated by the so-called walrus operator (PEP 572).
It's been about 9 months since then, the Python community has responded and things are back on track. I'm excited to welcome Brett Cannon to this episode to give us an update on where we are and how we got here. He's a frequent guest and Python core contributor and has the inside view of what happened. Links from the show Python at Microsoft: aka.ms/python Brett on Twitter: @brettsky Python elects a steering council: lwn.net PEP 8000: python.org Mit podcast interview: lexfridman.com Wasmer project: github.com Sponsors Linode backlog Talk Python Training |
Apr 28, 2019 | ||||
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#208 Packaging, Making the most of PyCon, and more
1:10:17
Are you going to PyCon (or a similar conference)? Join me and Kenneth Retiz as we discuss how to make the most of PyCon and what makes it special for each of us.
We also cover a buffet of other topics: packaging, pipenv, developing Python on Windows, async and await and more. Links from the show Kenneth on Twitter: @kennethreitz PyTheory package: github.com/kennethreitz/pytheory Import this podcast: kennethreitz.org Python 2 death clock: pythonclock.org PEP 3102: Keyword only args: discuss.python.org PyCon 2019: pycon.org Sponsors Linode backlog Talk Python Training |
Apr 21, 2019 | ||||
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#207 Parallelizing computation with Dask
00:57:53
What if you could write standard numpy and pandas code but have it run on a distributed computing grid for incredible parallel processing right from Python? How about just splitting it across multiprocessing to escape the limitations of the GIL on your local machine? That's what Dask was built to do.
On this episode, you'll meet Matthew Rocklin to talk about its origins, use-cases, and a whole bunch of other interesting topics. Links from the show Dask: dask.org Matthew on Twitter: @mrocklin Matthew's website: matthewrocklin.com Dask examples: github.com PyCon presentation: youtube.com PyCon presentation slides: matthewrocklin.com/slides Sponsors Linode backlog Talk Python Training |
Apr 14, 2019 | ||||
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#206 Running Django in Production
00:51:25
Let's talk about running Django in production. On this episode, you'll meet Michael Herman who used to work on realpython.com and today is running testdriven.io. We also cover some of the tradeoffs of a set of microservices and a monolith and a round trip journey between them.
Links from the show Test Driven: testdriven.io Real Python: realpython.com PyColorado: pycolorado.org Michael on Twitter: @mikeherman Michael's Personal site: mherman.org Sponsors Linode Stellares Banner Talk Python Training |
Apr 06, 2019 | ||||
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#205 Beginners and Experts Panel
00:57:53
Welcome to part 2 of our beginners and experts series. This one is a panel format with 7 different guests. Each of them a beginner in their own way. We dig deeper into some follow up conversations for part 1 with our panelists.
On this episode, you'll meet Vanessa Angel, Kelly Schuster-Paredes, Dane Parks, Scott Stoltzman, Sergio Sanchez, Alex Kaprosy, and Jason Pecor Links from the show Sergio Sanchez Links Sergio on Twitter: @ChekosWH Sergio on Github: github.com/chekos LinkedIn: linkedin.com Example of the work at PPIC: ppic.org/publication/immigrants-in-california Example of the work at PPIC: ppic.org/publication/immigrants-and-educational-attainment Jason Pecor links Jason on LinkedIn: linkedin.com/in/jasonpecor Jason on Github: github.com/jpecor Jason's company: aloriumtech.com Jason's company repo: github.com/AloriumTechnology Adafruit Circuit Python: learn.adafruit.com Micropython: micropython.org myHDL: myhdl.org Scott Stoltzman links Scott on Twitter: @stoltzmaniac Scott on Github: github.com/stoltzmaniac Company: stoltzmanconsulting.com Blog: stoltzmaniac.com Data Sci Meetup: meetup.com/Fort-Collins-Data-Science Python Meetup: meetup.com/Something-about-Python-Meetup Pandas: pandas.pydata.org Luigi: luigi.readthedocs.io Stats models: statsmodels.org Flask: flask.pocoo.org Tenserflow: tensorflow.org Dane Parks Links Contact: email Corey Schafer’s Youtube tutorials: youtube.com Vanessa Angel Links Vanessa on Twitter: @VanessaAngelAK Vanessa on LinkedIn: linkedin.com Renee Teate interviewing Will Kurt: youtube.com Kelly Schuster-Paredes Links Email Kelly: email Kelly on Twitter: @KellyPared Kelly on LinkedIn: linkedin.com Teaching Python podcast: teachingpython.fm Sponsors Linode Rollbar Talk Python Training |
Apr 02, 2019 | ||||
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#203 Beginners and Experts in Software Development
00:57:35
What's it like to be a beginner in software development? How about learning Python for the first time? This episode is a special panel episode and is the first of a two-part series we are doing on the podcast called Beginners and Experts.
On this first episode, we have a conversation between beginners and experts and how we can close the gap to help beginners get up to speed as quickly as possible. Our panelists are Karly Sindy, Joy Dantong Ma, Tsitsi Flora Munikwa, and Ned Batchelder. Special guests * Karly Sindy - @karlysindy * Joy Dantong Ma - @JoyDantongMa * Tsitsi Flora Munikwa - @tsitsi_flora * Ned Batchelder - @nedbat Links from the show Ned's Essay: Beginners and experts: nedbatchelder.com/blog Ned's Essay: Toxic Experts: nedbatchelder.com/blog Jacob-Kaplan Moss Keynote from PyCon 2015: youtube.com Sponsors Linode ting Talk Python Training |
Mar 13, 2019 | ||||
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#202 Building a software business
0:59:01
One core question around open source is how do you fund it? Well, there is always that PayPal donate button. But that's been a tremendous failure for many projects. Often the go-to answer is consulting.
But what if you don't want to trade time for money? You could take things up a notch and change the equation, exchanging value for money. That's what Ines Montani and her co-founder did when they started Explosion.ai with SpaCY as the foundation. Listen to her story about building a sustainable software business on open source and Python. Links from the show Ines' EuroPython keynote: youtube.com spaCy: spacy.io Explosion.ai: explosion.ai Prodigy App: prodi.gy Ines on Twitter: @_inesmontani Reasons companies fail: getautopsy.com Sponsors Linode Rollbar Talk Python Training |
Mar 09, 2019 | ||||
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#201 Choosing JupyterHub and Python over MATLAB
01:03:35
The Nobel prize in economics recently went to Paul Romer, a convert from proprietary software like Matlab over to Python and the SciPy stack. Paul said, “The more I learn about proprietary software, the more I worry that objective truth might perish from the earth.”
That's quite the statement. But what if your organization is deeply committed to proprietary software such as Matlab? Don't despair because Peter Kazarinoff, a professor at Portland Community College is here to share his experience converting his courses over to Python and JupyterHub. Links from the show Peter on Twitter: @pkazarinoff Portland Community College: pcc.edu JupyterHub: jupyterhub.readthedocs.io Peter’s Book: Problem Solving with Python: problemsolvingwithpython.com Problem Solving with Python [Amazon]: amazon.com Peter’s Blog: pythonforundergradengineers.com Peter’s MkDocs site showing JupyterHub deployment for a college class: professorkazarinoff.github.io GitHub repo for Portland Community College’s engineering programming course: github.com nb git puller: github.com This year’s Nobel Prize in economics was awarded to a Python convert: qz.com Sponsors Linode Stellares Banner Talk Python Training |
Feb 27, 2019 | ||||
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#198 Catching up with the Anaconda distribution
1:05:14
It's time to catch up with the Anaconda crew and see what's new in the Anaconda distribution. This edition of Python was created to solve some of the stickier problems of deployment, especially in the data science space. Their usage gives them deep insight into how Python is being used in the enterprise space as well. Which turns out to be a very interesting part of the conversation.
Links from the show Anaconda: anaconda.com Peter on Twitter: @pwang JetBrains Survey Results: jetbrains.com AnacondaCon: anacondacon.io Sponsors Linode Rollbar Talk Python Training |
Feb 09, 2019 | ||||
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#197 Modern Python Standard Library Cookbook
01:01:25
A recent twitter poll went around the web and it asked, what percentage of the Python standard library do you think you know? Someone copied me on it, maybe expecting some really high percentage answer. In reality, what I did answer and my rough estimate is that it's probably around 50%.
This episode with Alessandro Molina definitely helped confirm that experience for me. He just published a book entitled "Modern Python Standard Library Cookbook" and it's full of these great little corners of the standard library that you might not have bumped into but you'll be super glad to hear about on this episode! Links from the show Book: Modern Python Standard Library Cookbook: amazon.com Alessandro on Twitter: @__amol__ DukPy project: github.com TurboGears: turbogears.org Sponsors Linode Rollbar Talk Python Training |
Feb 02, 2019 | ||||
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#196 Datalore: Hosted smart notebooks
00:49:50
If you are doing any sort of data exploration, you've likely heard about Jupyter notebooks. In fact, there are quite a few options for running and hosting your Jupyter notebooks. You may have heard me rave about PyCharm as an editor too. Well, on this episode, you'll meet Adam Hood from the Datalore team at JetBrains. That's a new project that tries to bring some of the power of PyCharm to notebooks and more.
Links from the show Datalore: datalore.io Datalore blog: blog.datalore.io Datalore on Twitter: @datalorejb The Scientific Paper Is Obsolete: theatlantic.com Sponsors Linode Talk Python Training |
Jan 23, 2019 | ||||
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#195 Teaching Python at Apple
1:00:23
When you think of learning Python, what type of developer or technologist comes to mind? Is it someone looking to get their first job or maybe moving from .NET to Python and looking for a shift in their careers?
While these are common moves, you may be surprised how many folks within a tech company learn new languages like Python to stay within that company. On this episode, you'll meet Ron Hayden. He founded the Software University internal training program at Apple and is now doing his own independent training around Python. I think you'll find his story an interesting element in the mosaic of Python. Links from the show Sponsors CloudBolt Rollbar Talk Python Training |
Jan 20, 2019 | ||||
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#194 Learning (and teaching) Python in a vacuum
01:06:50
How do you learn programming when you're working in a vacuum? Sure there are resources on the internet, but sometimes just bouncing ideas of others in person makes a huge difference. Join me along with Rusti Gregory as we discuss how he is learning and teaching Python in a small town in Vermont.
Links from the show Code Combat.com: codecombat.com Automate the Boring Stuff Book: amazon.com Head First Python Book: amazon.com Python Anywhere: pythonanywhere.com Python Tutor: pythontutor.com repl.it: repl.it Socratica Video: youtube.com Pretty printed: prettyprinted.com Real Python: realpython.com Learn Python on Reddit: reddit.com/r/learnpython CheckIO: talkpython.fm/75 Code Challenges from PyBites: codechalleng.es Anvil Web Apps: anvil.works Talk Python's Gitter Channel: gitter.im/talk-python Dan Bader's Pythonista Cafe: pythonistacafe.com Rusti's web app: frdealer.pythonanywhere.com Sponsors Linode Rollbar Talk Python Training |
Jan 11, 2019 | ||||
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#193 Data Science Year in Review 2018 Edition
01:20:36
This year, 2018, is the year that the number of data scientists doing Python equals the number of web developers doing Python. That's why I've invited Jonathon Morgan to join me to count down the top 10 stories in the data science space.
You'll find many accessible and interesting stories mixed in with a bunch of laughs. We hope you enjoyed it as much as we did. Links from the show Show guest: Jonathon Morgan: @jonathonmorgan Top Data Science Stories of 2018 AI Finds the Perfect Babysitter: washingtonpost.com The Scientific Paper Is Obsolete: theatlantic.com Algorithm intentionally splits up families who are flying together: independent.co.uk Data for Democracy launches ethical principles for data practitioners: datafordemocracy.org/pledge This year’s Nobel Prize in economics was awarded to a Python convert: qz.com AI platform, fed by Waze data, predicts accidents, reduces crashes by 20%: zdnet.com AI finds millions of unregistered voters: nytimes.com Google AI better than doctors at detecting breast cancer: sciencefocus.com China’s new “social credit” system will go live by 2020: bloomberg.com Google launches Data Set Search: toolbox.google.com/datasetsearch Sponsors Talk Python Training |
Dec 31, 2018 | ||||
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#192 Python Year in Review 2018 Edition
00:59:03
It's been a fantastic year for Python. Literally, every year is better than the last with so much growth and excitement in the Python space. That's why I've asked two of my knowledgeable Python friends, Dan Bader and Brian Okken, to help pick the top 10 stories from the Python community for 2018.
Just us on this episode of Talk Python To Me to count them down. Links from the show Guests Brian Okken: @brianokken Dan Bader: @dbader_org #10: Python 3.7 Cool New Features in Python 3.7: realpython.com/python37-new-features #9: Changes in versioning patterns ZeroVer: 0-based Versioning: 0ver.org Calendar Versioning: calver.org Semantic Versioning 2.0.0: semver.org #8: Python is becoming the world’s most popular coding language Economist article: economist.com #7: 2018 was the year data science Pythonistas == web dev Pythonistas Python Developers Survey Results: jetbrains.com Covered in depth on Talk Python 176: https://talkpython.fm/176 #6: Black Project: pypi.org/project/black Soundgarden : “Black Hole Sun”: youtube.com #5: New PyPI launched! Python Package Index: pypi.org #4: Rise of Python in the embedded world Covered at Python Bytes: pythonbytes.fm/92 #3: Legacy Python's days are fading? Python 2.7 -- bugfix or security before EOL?: mail.python.org Python 2 death clock: pythonclock.org #2: It's the end of innocence for PyPi welve malicious Python libraries found and removed from PyPI: zdnet.com #1: Guido stepped down as BDFL [python-committers] Transfer of power: mail.python.org Proposals for new governance structure: discuss.python.org Sponsors CloudBolt Talk Python Training |
Dec 26, 2018 | ||||
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#191 Python's journey at Microsoft
01:12:27
When you think about Microsoft, do you think about Python? Maybe not, but you probably should. They have been doing an incredible amount of work to improve Python for folks on Windows as well as the broader community. You can think of the wild growth of Visual Studio code. But did you know that 5 core developers work there and the majority of Python development happens on Windows?
Join me along with Steve Dower (a core dev working at Microsoft), who just published an amazing retrospective of Python at Microsoft entitled: Python at Microsoft: flying under the radar. Links from the show Medium post: Python at Microsoft: flying under the radar: medium.com Steve's presentations: stevedower.id.au/speaking Python Development on Windows: aka.ms/python Azure Build Pipelines: azure.com/pipelines Azure data prep: docs.microsoft.com Python 3.7 in the Windows App Store: microsoft.com knack CLI package: github.com/Microsoft/knack Python Developers Survey 2017 Results: jetbrains.com Sponsors Linode Talk Python Training |
Dec 18, 2018 | ||||
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#190 Teaching Django
01:01:43
You'll find this episode to be part discussion on how to teach and learn Django as well as why learning web development can be hard and part meta where Will Vincent and I discuss the business of creating content and teaching around Python.
Links from the show Will's website: wsvincent.com Django for Beginners Book: djangoforbeginners.com REST APIs with Django Book: restapiswithdjango.com DjangoX - Starter Project for Django: github.com DRFX - Starter Project for Django REST Framework: github.com DjangoCon 2018: Finally Understand Authentication in Django REST Framework (video): youtu.be/pY-oje5b5Qk DjangoBoston 2018: Django APIs and React (slides): tinyurl.com/drf-react Django Core no more: b-list.org Django Async Roadmap: aeracode.org django-hunter: github.com Sponsors Talk Python Training |
Dec 11, 2018 | ||||
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#189 War Stories of the Developer Evangelists
00:59:11
Have you ever wondered what a developer advocate (sometimes called a dev evangelist) does? You know these folks. They are often seen at conferences working at some high-end tech company's booth or traveling from conference to conference speaking on their specialty.
Who are these folks, how did they get this job, and what is it really like to do it day to day? Join me along with Cecil Phillip from Microsoft, Matt Makai from Twilio, and Paul Everett from JetBrains to dig into what it means to be a developer advocate and how they each became one for such cool tech companies. Links from the show Guests Cecil Phillip: @cecilphillip Paul Everitt: @paulweveritt Matt Makai: @mattmakai Mentioned topics and links Full Stack Python: fullstackpython.com The Potty Training IoT Button: twilio.com/blog Confessions of a Public Speaker book: amazon.com Cecil's show on Channel 9: channel9.msdn.com Cecil's podcast: awayfromthekeyboard.com Posts by Developer Evangelists: devangel.io [Matt's] Typical Day As A Developer Evangelist: mattmakai.com Sponsors Linode Rollbar Talk Python Training |
Dec 07, 2018 | ||||
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#188 Async for the Pythonic web with Sanic
00:56:22
What do most web servers do most of the time? They wait. They wait on external systems while processing a request.
Think about a standard web request to an ecommerce site where you are logged in. You send it a session cookie and a URL. It pulls a bunch of items from a database, a Redis cache, and an external API. Virtually all this time is spent waiting. That is exactly what asyncio is built for. But to take advantage of it in Python web frameworks, the framework itself has to support async methods. That's what Sanic was built to do. On this episode, you'll meet Adam Hopkins who is leading the Sanic project. Links from the show Adam on Twitter: @admhpkns Sanic: sanicframework.org Matrix Retail (Adam's workplace): matrixretail.com Sanic discussion and community: community.sanicframework.org awesome-asyncio list: github.com/timofurrer/awesome-asyncio Sanic extensions: sanic.readthedocs.io pytest-sanic: sanic.readthedocs.io Django async roadmap: aeracode.org Sponsors Talk Python Training |
Dec 01, 2018 | ||||
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#187 Secure all the things with HubbleStack
00:59:53
How do you keep track of the security, configuration states, and even out of date system level packages in your servers? What if you had 40,000 or more servers? How's your process scale? I'll tell you, mine would take some tweaks!
On this episode, you'll meet Colton Myers who built HubbleStack. HubbleStack is an open-source security compliance framework. It provides on-demand profile-based auditing, real-time security event notifications, alerting, and reporting. And yes, Colton's group has over 40,000 servers and HubbleStack is watching over all of them. Learn about this cool Python-based framework on this episode of Talk Python To Me. Links from the show Colton on Twitter: @basepi HubbleStack website: hubblestack.io HubbleStack on Github: github.com/hubblestack HubbleStack on Twitter: @hubblestack Colton's site: blog.basepi.net Blog post introducing HubbleStack from Adobe: blogs.adobe.com Adobe's Security Blog: blogs.adobe.com/security 12-factor app overview: 12factor.net Splunk: splunk.com Vulners: vulners.com Sponsors Linode Rollbar Talk Python Training |
Nov 20, 2018 | ||||
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#186 100 Days of Python in a Magical Universe
01:02:57
The key to making anything a habit, including learning to program, is to make it fun. That's exactly what Anna-Lena Popkes did with her 100 days of code challenge. She created a magical universe where Python-derived creatures and castles live.
Join us on this episode as we explore some of the Python concepts she encountered on her journey as well as how she made her way to Microsoft Research in the UK where she is doing an AI Residency. Links from the show Opening blog post magical universe: alpopkes.com Reddit post, the X Effect: reddit.com Github repository magical universe: github.com ML Basics repository: github.com Anna-Lena's personal site: alpopkes.com Black package: pypi.org Original episode introducing #100DaysOfCode: talkpython.fm/140 Sponsors Coder Technologies Inc. Talk Python Training |
Nov 16, 2018 | ||||
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#185 Creating a Python 3 Culture at Facebook
01:07:46
Do you or your team maintain a large Python 2 code base? Would you like to move to Python 3 but there's just too much in place keeping you on legacy Python? Then you will definitely enjoy this story from Jason Fried. He created a grassroots campaign to move Facebook's massive Python 2 codebase to Python 3 and he made Python 3 part of the culture. There are lessons here for every listener.
Links from the show PyCon 2018 talk: youtube.com PyOhio 2016 talk: youtube.com Instagram Keynote: youtube.com Python 3 Statement: python3statement.org Python 2 Death Clock: pythonclock.org Anthony's Python 2 to 3 course: pluralsight.com Sponsors Linode Rollbar Talk Python Training |
Nov 09, 2018 | ||||
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#184 Teaching Python with BBC micro:bit
01:07:38
How can we make learning Python and teaching Python more real for students, especially younger students? The BBC in the UK had a great idea. Make it more physically real with actual devices. That's where Nicholas Tollervey got involved. He helped bring the BBC Micro:bit and Python to millions of kids in the UK.
Links from the show Nicholas on Twitter: @ntoll Python in Education pamphlet: oreilly.com Programming with MicroPython: shop.oreilly.com CodeGrades: codegrades.com CodeGrades on Twitter: @codegrades Mu editor: codewith.mu Mu project blog: madewith.mu Mu developer docs: mu.rtfd.io PyCon 2018 talk on Mu: youtube.com EuroPython talk: A Million Children (and MicroPython): youtube.com PyCon Poland: Python in Education: youtube.com The Story of MicroPython on the BBC micro:bit: ntoll.org Sponsors Datadog Talk Python Training |
Nov 02, 2018 | ||||
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#183 Qt for Python
00:58:03
Python is taking over much of the development world as it quickly is becoming one of the, or simply the most widely used programming languages. But that does not mean that Python is without its weaknesses. In my mind, there are three such weaknesses: #1 GUIs applications, #2 Native, general purpose mobile apps (iOS and Android), #3 deployment as a single binary or set of binary and resource files.
This episode is primarily about #1, the GUI frameworks. One of the best such frameworks looking to make Python a better language for desktop applications is Qt, namely Qt for Python. This week you'll meet Cristián Maureira-Fredes from to tell us all about this revitalization of the Qt and Python space. But you will also learn that they have aspirations to make Qt for Python and option for mobile app development and to solve the deployment problem as well. That hits all three of the weak spots and we can only be rooting for them to solve them! Links from the show Cristián's website: maureira.xyz Cristián on Twitter: @cmaureir Cristián on Github: @cmaureir Cristián on LinkedIn: linkedin.com Qt for Python: qt.io/qt-for-python Qt for Python (Wiki): pyside.org Webinar (video): youtube.com Webinar (slides): maureira.xyz/webinar Shiboken: blog.qt.io Sponsors Linode Rollbar Talk Python Training |
Oct 24, 2018 | ||||
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#182 Picture Python at Shutterfly
00:58:15
Join me and Doug Farrell as we discuss his career and what he's up to at Shutterfly. You'll learn about the Python stack he's using to work with, not just with bits and bytes, but physical devices on a production line for creating all sorts of picturesque items. You'll also hear how both he and I feel it's a great time to be a developer, even if you're on the older side of 30 or 40 or beyond.
Links from the show Doug on Twitter: @writeson Shutterfly: shutterfly.com Robotics and Beyond STEM courses: roboticsandbeyond.org Articles Building and Documenting Python REST APIs With Flask and Connexion Part 1: realpython.com/flask-connexion-rest-api Part 2: realpython.com/flask-connexion-rest-api-part-2 Understanding Asynchronous Programming in Python: dbader.org/blog/understanding-asynchronous-programming-in-python Sponsors LogRocket Rollbar Talk Python Training |
Oct 17, 2018 | ||||
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#181 30 amazing Python projects
00:52:10
Listeners often tell me one of the really valuable aspects of this podcast is the packages and libraries that they learn about and start using in their projects from guests and myself. On this episode, I've invited Brian Okken (my co-host over on Python Bytes) to take this to 11. We are going to cover the top 30 Python packages from the past year (metric to be determined later in the show).
Links from the show Brian: @brianokken PythonBytes Podcast: pythonbytes.fm Brian's pytest Book: pragprog.com The 30 packages Original article: 30 amazing Python projects: medium.mybridge.co #1: Home-assistant: home-assistant.io -- Previously #122: Home Assistant: Pythonic Home Automation: https://talkpython.fm/122 #2: pytorch: pytorch.org #3: grumpy: github.com/google/grumpy -- Previously: #95: Grumpy: Running Python on Go: https://talkpython.fm/95 #4: sanic: sanicframework.org #5: python-fire: github.com/google/python-fire #6: spaCy: spacy.io #7: pipenv: docs.pipenv.org #8: MicroPython: micropython.org #9: prophet: facebook.github.io/prophet #10: SerpentAI: serpent.ai -- Previously: Python Bytes #50: pythonbytes.fm/50 #11: dash: github.com/plotly/dash #12: InstaPy: github.com/timgrossmann/InstaPy -- Previously: #142: Automating the web with Selenium and InstaPy: https://talkpython.fm/142 #13: API Star: docs.apistar.com #14: faiss: github.com/facebookresearch/faiss #15: MechanicalSoup: mechanicalsoup.readthedocs.io #16: better-exceptions: github.com/Qix-/better-exceptions -- Previously: Python Bytes #19: https://pythonbytes.fm/19 #17: flashtext: github.com/vi3k6i5/flashtext #18: maya: github.com/kennethreitz/maya -- Previously: #115: Python for Humans projects: talkpython.fm/115 #19: mimesis: mimesis.rtfd.io #20: open-paperless: openpaperless.com #21: fsociety: github.com/Manisso/fsociety -- Also, turns out: Python is a hit with hackers: zdnet.com #22: livepython: github.com/agermanidis/livepython #23: hatch: github.com/ofek/hatch #24: tangent: github.com/google/tangent #25: Clairvoyant: github.com/anfederico/Clairvoyant #26: MonkeyType: github.com/Instagram/MonkeyType #27: Eel: github.com/ChrisKnott/Eel -- Shoutout to Python Electron: github.com/fyears/electron-python-example #28: Surprise: surpriselib.com #29: gain: github.com/gaojiuli/gain -- Previously: Python Bytes #73: This podcast comes in any color you want, as long as it's black: pythonbytes.fm/73 #30: pdftabextract: github.com/WZBSocialScienceCenter/pdftabextract Sponsors Linode CloudBolt Talk Python Training |
Oct 12, 2018 | ||||
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#180 What's new in Python 3.7 and beyond
00:57:26
The Python core developers recently released Python 3.7 and are now busy planning what's coming in 3.8. That makes right now a great time to dig into what was included in Python 3.7 and what's on deck for the next great release of CPython. This week we have Anthony Shaw back on the podcast to tell us all about it.
Links from the show Anthony on Twitter: @anthonypjshaw Black: github.com/ambv/black mypyc: github.com/JukkaL/mypyc 10 Python security holes and how to plug them: talkpython.fm/168 Anthony's What's New in Python 3.7 course: pluralsight.com Docs: What's new in 3.7: docs.python.org Docs: What’s New In Python 3.8: docs.python.org Write up: How Dimension Data launched a #LearnToCode initiative for 31,000 employees: medium.com Michael's async course Async Techniques and Examples in Python: talkpython.fm/async Tidelift Pay the maintainers: tidelift.com Sponsors TideLift Talk Python Training |
Oct 02, 2018 | ||||
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#179 Python Language Summit 2018
00:50:36
The Python Language Summit is a yearly gathering of around 40 or 50 developers from CPython, other Python implementations, and related projects. It is held on the first day of PyCon. Many of the decisions driving Python forward are made at this summit. On this episode you'll meet Mariatta Wijaya, Łukasz Langa and Brett Cannon, three well-known core devs to walk us through the major topics of this year's summit.
Links from the show Guests Mariatta Wijaya: @mariatta Łukasz Langa: @llanga Brett Cannon: @brettsky The 2018 Python Language Summit at LWN.NET: lwn.net/Articles/754152 Subinterpreter support for Python: lwn.net/Articles/754162 Modifying the Python object model: lwn.net/Articles/754163 A Gilectomy update: lwn.net/Articles/754577 Using GitHub Issues for Python: lwn.net/Articles/754779/ Shortening the Python release schedule: lwn.net/Articles/755224 Unplugging old batteries: lwn.net/Articles/755229 Linux distributions and Python 2: lwn.net/Articles/756628 Python static typing update: lwn.net/Articles/757218 Python virtual environments: lwn.net/Articles/757354 PEP 572 and decision-making in Python: lwn.net/Articles/757713 Getting along in the Python community: lwn.net/Articles/757714 Mentoring and diversity for Python: lwn.net/Articles/757715 Mariatta's blog on the event Part 1: mariatta.ca Part 2: mariatta.ca Core mentorship office hours: devguide.python.org Python core mentorship mailing list: mail.python.org Sponsors Linode Rollbar Talk Python Training |
Sep 26, 2018 | ||||
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#178 Coverage.py
01:03:31
You know you should be testing your code right? How do you know whether it's *well* tested? Are you testing the right things? If you're not using code coverage, chances are is you're guessing.
But you don't need to guess. Just grab coverage.py maintained by our guest this week, Ned Batchelder. Links from the show Ned on Twitter: @nedbat Ned on the web: nedbatchelder.com Coverage.py: coverage.readthedocs.io Mentioned: Python for .NET: pythonnet.github.io Package: check-manifest: pypi.org/project/check-manifest Sponsors Brilliant Manning Publications Talk Python Training |
Sep 21, 2018 | ||||
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#177 Flask goes 1.0
01:02:22
Flask is now 8 years old and until recently had gone along pretty steady state. It had been hanging around at version 0.11 and 0.12 for some time. After a year-long effort, the web framework has now been updated to Flask 1.0.
David Lord is here to share the big news with. He's the maintainer of Flask and we dive into the new features as well as the future directions of Flask with him. Bio photo credit: Paul Collins (@paul_collins) Links from the show David Lord on Twitter: @davidism David Lord's site: davidism.com Flask site: flask.pocoo.org Pallets Project: palletsprojects.com Pallets GitHub Org: github.com/pallets Donate to Pallets (redirects to PSF): palletsprojects.com/donate Authlib package: authlib.org Flask-Talisman: github.com/GoogleCloudPlatform/flask-talisman Sponsors Linode 10x Management Talk Python Training |
Sep 15, 2018 | ||||
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#176 The Python Community by the Numbers
00:53:29
The Python landscape is changing pretty dramatically. Python's rapid growth over the past 5 years means it doesn't look the same as the early days. On this episode, we take a deep look inside the state of the Python ecosystem with Ewa Jodlowska and Dmitry Filippov. They lead the PSF and JetBrains Python survey. And they are here to dig into the results.
Links from the show Ewa on Twitter: @ewa_jodlowska Dmitry on Twitter: @filippovdmitry Survey Results: jb.gg/pythondevsurvey2017 PyCon 2018 presentation: youtube.com Survey Feedback: surveys@python.org Issue tracker on GitHub: github.com Sponsors Linode Brilliant Talk Python Training |
Sep 10, 2018 | ||||
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#175 Teaching Python to network engineers
00:55:27
The discipline of network engineering is quickly moving towards a world where it's as much programming and automation as it is packets and ports. Join me and Hank Preston to discuss what parts of Python are important for network engineers to learn.
Links from the show Hank on Twitter: @hfpreston Cisco DevNet on Twitter: @CiscoDevNet Hank on LinkedIn: linkedin.com/in/hpreston Cisco DevNet resources: developer.cisco.com Network Programmability Basics Video Course: developer.cisco.com/video/net-prog-basics Sponsors Linode Brilliant Talk Python Training |
Aug 31, 2018 | ||||
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#173 Coming into Python from another Industry (part 1)
00:57:25
Not everyone comes to software development and Python through 4-year computer science programs at universities. This episode highlights one alternative journey into Python.
Over the course of two episodes, you will meet people who started in other industries and now make Python part of their daily experience. Some of them have used programming to power-up their specialization. Others decided they'd rather be doing programming fulltime and made that switch. This is part 1 of this two-part series. Our guests this time are Derrick Chambers, Jim Taysom, Arash Soheili, and Rob Ward. Links from the show Guests Rob Ward Twitter: @JBalloonist Github: github.com/JBalloonist Linkedin: linkedin.com/in/jballoonist Arash Soheili Twitter: @tonyarash Linkedin: inkedin.com/in/arashsoheili Medium: medium.com/@asoheili Derrick Chambers Twitter: @derchambers Github: github.com/d-chambers Jim Taysom Twitter: @JamesTaysom Github: github.com/jmtaysom Radiant Solutions: adiantsolutions.com Packages references Obspy - python package for seismology: github.com/obspy/obspy Sortedcontainers: grantjenks.com/docs/sortedcontainers hupper: github.com/Pylons/hupper Sponsors Linode Brilliant Talk Python Training |
Aug 07, 2018 | ||||
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#172 Nuitka: A full Python compiler
01:06:53
Quick, name some ways to make your Python code faster. Did you think PyPy, the JIT-compiled version of Python? Maybe some async and await parallelism? How about Cython where you write in Python-esc language that compiles to machine instructions?
I'm here to add a new one to your vocabulary. Nuitka. Nuitka is like Cython in that your Python code is compiled into true machine instructions rather than interpreted. But unlike Cython, you can take standard Python 3 without changing the syntax at all and compile it. And Kay Hayen is here to take us on the journey of Nuitka, a project he created and has been overseeing for some time. Links from the show Nuitka project: nuitka.net Nuitka EuroPython Talk: youtube Kay on Twitter: @KayHayen Packages Ansible: ansible.com Nikola: getnikola.com Buildbot: buildbot.net Pipenv: docs.pipenv.org Data-driven Pyramid web course: talkpython.fm/pyramid Sponsors Cox Automotive Rollbar Talk Python Training |
Aug 01, 2018 | ||||
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#171 1M Jupyter notebooks analyzed
00:58:32
Jupyter notebooks have transformed the way many developers and data scientists do their jobs. They offer a platform to not just explore but to explain data and computation.
But how are they *really* being used? Adam Rule is here to describe his research (and Ph.D. dissertation) which analyzed over 1M Juypter notebooks found in the wild. Links from the show Adam Rule: adamrule.com 1 Million Notebooks Paper (official): dl.acm.org 1 Million Notebooks Paper (pre-print): adamrule.com/files Analysis Notebooks for Paper: github.com/ Dataset for Paper: library.ucsd.edu Atlantic Article - The Scientific Paper is Obsolete: theatlantic.com Sponsors Linode Studio 3T Talk Python Training |
Jul 29, 2018 | ||||
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#170 Guido van Rossum steps down
00:37:55
This past week we have had a passing of the reigns for Python leadership. Guido van Rossum who created and has been shepherding the language for 30 years has stepped down from decision making around the Python language.
Join Carol Willing and Brett Cannon both long time core developers and Python leaders along with my co-host at Python Bytes Brian Okken as we discuss that the future holds for Python and how this change will affect how Python is created and evolves. Links from the show The announcement: mail.python.org Special guests Brett Cannon: @brettsky Carol Willing: @WillingCarol Brian Okken: @brianokken Sponsors Linode Rollbar Talk Python Training |
Jul 20, 2018 | ||||
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#169 Becoming a Python content creator
01:06:40
Corey Schafer has been building his YouTube channel of tutorials for many years. He recently made the big shift into making this hobby project his full time job. You'll hear about how Corey made that transition, what it takes to "go pro", and even a little bit about the similarities with my work with Talk Python and his project.
Links from the show Corey's YouTube channel: youtube.com Corey on Twitter: @coreymschafer Made in Africa: github.com/collections/made-in-africa Corey's Patreon page: patreon.com/coreyms Sponsors Datadog Rollbar Talk Python Training |
Jul 13, 2018 | ||||
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#168 10 Python security holes and how to plug them
01:00:00
Do you write Python software that uses the network, opens files, or accepts user input? Of course you do! That's what almost all software does. But these actions can let bad actors exploit mistakes and oversights we've made to compromise our systems.
Python is safer than some languages, but there are plenty of issues to be careful about. That's why Anthony Shaw and Anthony Langsworth are joining me to discuss Python security. Links from the show Anthony Shaw on twitter: @anthonypjshaw Anthony Langsworth on twitter: @alangsworth 10 common security gotchas in Python and how to avoid them: hackernoon.com OWASP Top 10: owasp.org PyGoat: owasp.org DjanGoat: github.com Risky Business Podcast: risky.biz Sponsorship links Test and code podcast: testandcode.com Talk Python Training: training.talkpython.fm Sponsors Test and Code Podcast Talk Python Training |
Jul 06, 2018 | ||||
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#167 Simplifying Python's Async with Trio
00:55:41
Ever since Python 3.5 was released, we've had a really powerful way to write I/O bound async code using the async and await keywords.
On this episode, you'll Nathaniel Smith who wrote the Trio async framework that significantly simplifies complex coordinating operations using async and await. Links from the show Nathaniel on Twitter: @vorpalsmith Trio: github.com/python-trio/trio Nathaniel's PyCon Talk: youtube.com Notes on structured concurrency, or: Go statement considered harmful: vorpus.org Timeouts and cancellation for humans: vorpus.org Other Async Frameworks of Note Unsync: asherman.io Curio: github.com/dabeaz/curio Sponsors Linode Rollbar Talk Python Training |
Jun 29, 2018 | ||||
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#165 Python and the blockchain
01:05:00
The blockchain and cryptocurrencies are some of the most disruptive technologies of the decade. On this episode, you'll meet Stuart Farmer who is building a suite of developer tools that speed up the process of creating new and custom blockchains and apps.
Links from the show Lamden: lamden.io Lamden on GitHub: github.com/Lamden Lamden on Twitter: @lamdentau Related articles Plattsburgh has become the first city in the US to ban cryptocurrency mining: theverge.com Some Blockchain Startups: hackernoon.com Sponsors Linode: linode.com Nerdlettering: nerdlettering.com Talk Python Courses: training.talkpython.fm Sponsors Linode Nerd Lettering Talk Python Training |
Jun 08, 2018 | ||||
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#164 Python in Brain Research at the Allen Institute
00:57:54
The brain is truly one of the final frontiers of human exploration. Understanding how brains work has vast consequences for human health and computation. Imagine how computers might change if we actually understood how thinking and even consciousness worked.
On this episode, you'll meet Justin Kiggins and Corinne Teeter who are research scientists using Python for their daily work at the Allen Institute for Brain Science. They are joined by Nicholas Cain who is a software developer supporting scientists there using Python as well. Even if you aren't interested in brain science directly, I encourage you to listen to the entire interview. It's really fascinating. Links from the show Twitter: @alleninstitute Brain Observatory: observatory.brain-map.org Allen Brain Observatory overview video: youtube.com Cell Types: celltypes.brain-map.org First open database of live human brain cells video: youtube.com Research packages allensdk: alleninstitute.github.io/AllenSDK bmtk: github.com/AllenInstitute/bmtk neuroglia: neuroglia.readthedocs.io Allen Institute's Github page: github.com/AllenInstitute Jobs at The Allen Institute: alleninstitute.org/what-we-do/brain-science/careers/job-search Sponsors Cox Automotive Rollbar Talk Python Training |
Jun 01, 2018 | ||||
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#163 Python in Geoscience
00:52:17
Learn how Python is being used in research to understand the inner workings of the Earth. This week, you'll meet Lindsey Heagy, a PhD student in geophysics at the University of British Columbia. She shares how she is using Python to solve these computational problems along with an amazing framework for viewing scientific writing itself through the lens of Python and open source.
Links from the show Lindsey on Twitter: @lindsey_jh Simpeg: simpeg.xyz Simpeg example: twitter.com/rowancockett/status/989361802893967360 GeoSci: geosci.xyz Properties: propertiespy.readthedocs.io Using Open Source Tools to Refactor Geoscience Education: youtube EarthPy: earthpy.org Extras My MongoDB workshop: mongodb.com/webinar/python Anvil: talkpython.fm/anvil My Anvil App (from course): pypoint-100days.anvilapp.net Sponsors MongoDB Anvil Talk Python Training |
May 25, 2018 | ||||
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#162 Python in Building and Architecture
00:54:35
You often hear about architecture in software. This could be things like microservices, 3-tier apps, or even the dreaded client-server mainframe app. But this episode, we're turning this on its head: It's software in architecture and real-world construction projects with Mark Mendez.
Links from the show EvolveLAB: evolvebim.com Grasshopper 3D: grasshopper3d.com Python OCC: github.com/tpaviot/pythonocc-core Flask Building Dashboard: bim-dashboard.herokuapp.com Twitter: @Evolve_LAB Wall-climbing robots: youtube.com Sponsors Linode ActiveState Talk Python Training |
May 21, 2018 | ||||
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#161 Django 2.0
01:07:57
Django has reached a major milestone with its 2.0 release. This puts legacy Python (that is Python 2) fully in the rear-view mirror and brings some nice new features to the framework.
Join me with Daniel Roy Greenfeld to discuss what new best practices we should adopt and which ones are still entirely relevant. Links from the show Danny on Twitter: @pydanny Creating and Distributing Python Packages course: courses.twoscoopspress.com/courses Course (Spanish edition): courses.twoscoopspress.com/courses cookiecutter: github.com/audreyr/cookiecutter black formatter: github.com/ambv/black TwoScoops Django Book: twoscoopspress.com/products/two-scoops-of-django-1-11 Pyup: pyup.io MongoDB webcast: MongoDB.com/webinar/python Sponsors MongoDB ActiveState Talk Python Training |
May 12, 2018 | ||||
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#160 Lektor: Beautiful websites out of flat files
00:55:41
What is the fastest, most scalable web platform? Is it Pyramid running on top of MongoDB with a Redis cache? Maybe Flask and Postgres as a service? Some funky Go API framework?
No. It's static files. But today that does not mean you write a bunch of HTML. With static site frameworks like Lektor and Pelican, you can use data to drive the creation of static sites and then host those wherever makes the most sense for you. On this episode, you'll meet Joseph Nix who works on Lektor, a Python based static site generator. Links from the show Lektor: getlektor.com Lektor on Github: github.com/lektor/lektor Terminal Labs: terminallabs.com Terminal Labs blog: terminallabs.com/blog Rambo: github.com/terminal-labs/rambo Joseph on Twitter: @nixjdm Lektor on Twitter: @getlektor Terminal labs on Twitter: @terminal_labs Sponsors Linode Rollbar Talk Python Training |
May 04, 2018 | ||||
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#159 Inside the new PyPI launch
01:00:41
Python is often described as a "batteries included" language and ecosystem. In fact, that's been taken so far that there is even a delightful Easter egg in the Python REPL. Just type "import antigravity" to see what I mean.
Where do these powerful packages come from? Well, the Python Package Index or PyPI. On this episode, you will meet Nicole Harris, Ernest Durbin III, and Dustin Ingram. They were part of the team that has just launched the new version of PyPI over at pypi.org. Not only have they given us a great new website around packaging in Python. They have laid the foundation for innovation in this space for years to come. Links from the show The new PyPI: pypi.org Guests Nicole Harris: @nlhkabu Dustin Ingram: @di_codes Ernest W. Durbin III: @EWDurbin New course Python 3, an illustrated tour: talkpython.fm/illustrated Sponsors ActiveState Codacy Talk Python Training |
Apr 27, 2018 | ||||
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#158 Quantum Computing and Python
00:47:54
You've surely heard of quantum computing and quantum computers. They are based on the (often) non-intuitive nature of very small particles described by quantum mechanics. So how do they work and what will they mean for us as a society and as developers?
Luckily, I have Hannah Sim, a Ph.D. student from Harvard working on quantum algorithms here to give us the full story. Links from the show OpenFermion: github.com/quantumlib/OpenFermion pyQuil: github.com/rigetticomputing/pyquil Rigetti 19 qubit: medium.com BM 50 qubit: technologyreview.com IBM Python library: github.com/QISKit/qiskit-sdk-py D-Wave 2000 qubit: dwavesys.com Sponsors Linode ActiveState Talk Python Training |
Apr 20, 2018 | ||||
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#157 The Journal of Open Source Software
01:04:46
One of the hottest areas of growth for Python is in the scientific and data science communities. But if that work is done in an academic or research setting, it can be very hard to get proper credit for it. You have to write full on peer reviewed articles.
That's where Arfon Smith and JOSS or The Journal of Open Source Software come in. Here developer-scientists and other research-oriented folks can submit their software as a brief paper. Join us on this episode to learn all about that and Arfon's work with some of the most cutting-edge projects in Astronomy at the Space Telescope Science Institute. Links from the show Arfon on Twitter: @arfon Announcing The Journal of Open Source Software: arfon.org The Journal of Open Source Software: joss.theoj.org Become a reviewer: joss.theoj.org/reviewer-signup.html A quick tour of a few papers: joss.theoj.org/papers/accepted Zooniverse: zooniverse.org Making Your Code Citable: guides.github.com/activities/citable-code BATMAN article review: github.com/openjournals/joss-reviews Space Telescope Science Institute: stsci.edu Sponsors ActiveState Rollbar Talk Python Training |
Apr 06, 2018 | ||||
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#156 Python History and Perspectives
00:59:07
Learning about programming libraries and languages is useful and interesting. But sometimes knowing WHY certain decisions were made or the history leading up to some change or package being created gives you a deeper understanding.
That's what this episode is all about. You'll meet Mike Driscoll who runs PyDev of the Week. He also just published a very relevant book: Python Interviews: Discussions with Python Experts. Links from the show Mike's blog: blog.pythonlibrary.org Mike on Twitter: @driscollis Mike's self-published books: leanpub.com/u/mikedriscoll Python Interviews On Amazon: amzn.to/2pBnf7k On Packt: packtpub.com Sponsors Linode Talk Python Training |
Mar 24, 2018 | ||||
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#155 Practical steps for moving to Python 3
01:03:26
Since 2008 there has been this tension in Python where the much of the effort to improve Python has been on Python 3 whereas many developers were left stuck on Python 2 primarily because important packages were not yet Python 3 capable.
We've moved into a new era where most packages anyone uses is fully Python 3 enabled and many are Python 3 only (the latest Django framework for example). There are many carrots and a number of heavy sticks encouraging us all to move to Python 3. But what if you have a large code base that needs to be migrated? What are the concrete steps and the gotchas in this whole process? This week, we welcome back Anthony Shaw to show. He just published a new course on migrating Python 2 code and he's here to share his tips. Links from the show Anthony on twitter: @anthonypjshaw Anthony's Pluralsight Python 2 to 3 course: pluralsight.com/courses/python-2-to-python-3 Instagram keynote: youtube.com APIStar: github.com/encode/apistar Quart: hackernoon.com sphinxcontrib-confluencebuilder: github.com/tonybaloney/sphinxcontrib-confluencebuilder Sponsored links Linode: talkpython.fm/linode Rollbar: talkpython.fm/rollbar Eve REST course: training.talkpython.fm Sponsors Linode Rollbar Talk Python Training |
Mar 16, 2018 | ||||
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#154 Python in Biology and Genomics
00:58:16
Python is often used in big-data situations. One of the more personal sources of large data sets is our own genetic code. Of course, as Python grows stronger in data science, it's finding its place in biology and genetics.
In this episode, you'll meet Ian Maurer. He's working to help make cancer a think of the past. We'll dig into how Python is part of that journey. Links from the show Ian on Twitter: @imaurer Genomoncology: genomoncology.com Genomoncology on GitHub: github.com/genomoncology My Cancer Genome: mycancergenome.org Google's Deep Variant: github.com/google/deepvariant Background Reading What are computers used for in DNA sequencing?: biology.stackexchange.com An introduction to Next-Generation Sequencing Technology: illumina.com Difference between fasta fastq and sam file formats: bioinformatics.stackexchange.com One Renegade Cell Book: amazon.com BioStars, Bioinformatics explained: biostars.org Sponsors Codacy: codacy.com Talk Python Training: training.talkpython.fm Sponsors Codacy Talk Python Training |
Mar 07, 2018 | ||||
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#152 Understanding and using Python's AST
00:51:55
Have you heard about ASTs? Maybe that was in the context of compilers or parsers? They are an powerful data structure that we all use but often indirectly. They are just an, well, abstract idea to most of us.
This week, you'll meet Emily Morehouse. She is here to make this abstract concept much more concrete and discuss places where the AST can help us write and maintain better code. Links from the show Emily's talk: youtu.be Talk slides: emilyemorehouse.github.io Emily on Twitter: @emilyemorehouse Tools Python hunter: python-hunter.readthedocs.io Pythoscope: github.com/mkwiatkowski/pythoscope Transcrypt: Python in the browser: transcrypt.org YAFP: github.com/google/yapf PyBee projects: github.com/pybee Sponsors Park My Cloud Rollbar Talk Python Training |
Feb 23, 2018 | ||||
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#151 Gradual Typing of Production Applications
01:09:00
I hope you using Python 3 these days. One of its powerful new features is type annotations. This lets you build and maintain large-scale Python projects with much more ease and confidence.
This episode you'll meet Łukasz Langa who has help migrate some very large Python projects. We'll discuss how Python uses the concept of gradual typing to slowly expand the sections of your code that are type checked. Links from the show Łukasz Langa on twitter: @llanga Łukasz's presentation: youtu.be Instagram keynote talk: youtube.com Where to get help Read this first: mypy.readthedocs.io #typing on gitter For PEP 484/526/544/536 issues: github.com/python/typing Type checker issues: github.com/python/mypy Standard library and third-party annotations: github.com/python/typeshed Sponsors Linode Talk Python Training |
Feb 16, 2018 | ||||
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#149 4 Python Web Frameworks, Compared
00:57:25
Are you considering getting into web programming? Choosing a web framework (like Pyramid, Flask, or Django) can be daunting. It would be great to see them all build out the same application and compare the results side-by-side.
That's why when I heard what Nick Hunt-Walker was up to, I had to have him on the podcast. He and I will chat about 4 web frameworks, compared. He built a data-driven web app with Flask, Tornado, Pyramid and Django and then put it all together in a presentation. We are going to dive into that. Links from the show Nick on Twitter: @nhuntwalker Nick on the web: rationalwhimsy.com 500 Lines Book Chapter: aosabook.org/en/500L The App on GitHub: github.com/PythonToDoList PyCascades conference: pycascades.com Code Fellows course: codefellows.org PUPY Meetup: meetup.com/PSPPython The talk (video): youtu.be Sponsors Linode Talk Python Training |
Feb 02, 2018 | ||||
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#148 Python Book Authors' Panel Discussion
01:02:05
Are you a fan of developer and technical books? Ever wonder what went into the writing of your favorite Python book? This week we peek inside the world of book authorship with a panel of renowned developer-focused authors.
You'll meet Katharine Jarmul, Bruce Eckel, Luciano Ramalho, Dan Bader, and Brian Okken. Links from the show Panelists Katharine Jarmul: @kjam Bruce Eckel: @bruceeckel Luciano Ramalho: @ramalhoorg Dan Bader: @dbader_org Brian Okken: @brianokken Books by author Katharine Jarmul: Data Wrangling with Python: amzn.to/2DFL2f7 Bruce Eckel: Thinking in Java: amzn.to/2Goor4M Luciano Ramalho: Fluent Python: amzn.to/2BvuzV9 Daniel Bader: Python Tricks: amzn.to/2GkdRLX Brian Okken: Python Testing with pytest: amzn.to/2DIHIjL Topics mentioned 538 Data / Article repo: github.com/fivethirtyeight/data Hacking your Imposter Syndrome: linbug.github.io #69: Write an Excellent Programming Blog with Jesse Davis: https://talkpython.fm/69 Getting Real book: basecamp.com/books/getting-real Hustle: The Life Changing Effects of Constant Motion: amzn.to/2BvM73r From Python to Numpy: labri.fr The Stand-up Developer: standupdev.com Book Builder from Bruce: github.com/BruceEckel/BookBuilder Sponsors Linode Talk Python Training |
Jan 28, 2018 | ||||
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#147 Quart: Flask, but 3x faster
00:51:02
There has been a bunch of new Python web frameworks coming out in the past few years. Generally, these have been focused solely on Python 3 and have tried to leverage Python's new async and await features.
However, generally these frameworks have come with their own new APIs. They may be amazing but it's something new to learn and a barrier to migrating over to them. That's why when I learned about Quart from Philip Jones, I was excited. It's an async-enabled web framework that attempts to be 100% compatible with Flask, including the extensions. Links from the show Quart: gitlab.com/pgjones/quart 3x faster Flask apps: hackernoon.com Phil's PyCon UK Talk: youtube.com/watch?v=EgpQcLy1kf0 Reddit Announcement: reddit.com PeeWee ORM Async: github.com/05bit/peewee-async Controlling Python Async Creep article: hackernoon.com Sponsored links Smarkets careers: smarkets.com/careers Rollbar error monitoring: rollbar.com Talk Python courses: training.talkpython.fm Sponsors $markets Rollbar Talk Python Training |
Jan 19, 2018 | ||||
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#145 2017 Python Year in Review
00:59:23
It's been an amazing year for Python. We've seen its meteoric growth continue to become the most popular, major programming language. We've seen significant grants and funding come in for open source. And this just might be the year that the Python 2 or Python 3 question was finally settled.
Join Brian Okken, my co-host from our Python Bytes podcast, and me as we look back at many of the major milestones for Python in 2017. Links from the show #1. Finally we switch to modern Python Python 3 vs Python 2: It’s Different This Time: activestate.com Django 2.0 is dropping support for legacy Python: news.ycombinator.com Django 2.0 (released earlier this month): docs.djangoproject.com Instagram switching to Python 3 on one branch: youtube.com Heroku switching default to v3.6: reddit.com NumPy: Plan for dropping Python 2.7 support: github.com/numpy Python 2 Death Clock: pythonclock.org #2. Hackers subvert PyPI Ten Malicious Libraries Found on PyPI: arstechnica.com #3. PyPI gets long awaited support to modernize PSF awarded $170,000 grant from Mozilla Open Source Program to improve sustainability of PyPI: pyfound.blogspot.com NumPy receives first ever funding, thanks to Moore Foundation: numfocus.org #4. Digital activists move to save endangered data Hackers downloaded US government climate data and stored it on European servers as Trump was being inaugurated: qz.com #5. Rise of the async web frameworks Sanic: github.com/channelcat Quart: gitlab.com/pgjones/quart Japronto: github.com/squeaky-pl/japronto #6. CPython moved to GitHub CPython on GitHub: github.com/python/cpython Mailing list announcement: mail.python.org Reddit discussion: reddit.com/r/Python Brett Cannon’s excellent background story: snarky.ca #7. The Incredible Growth of Python Stackoverflow article: stackoverflow.blog Python overtakes R, becomes the leader in Data Science, Machine Learning platforms: kdnuggets.com #8. Tech is in danger of scaring people Tech people think they are the good guys, they aren't: wired.com The Dark Secret at the Heart of AI: technologyreview.com The Real Threat of Artificial Intelligence: nytimes.com #9. Python appears inside some influential apps Excel and Python, maybe: excel.uservoice.com Python in SQL Server 2017: enhanced in-database machine learning: blogs.technet.microsoft.com #10. Google implements Python (2 :-/ ) on Go How big is the Python Family: py.checkio.org/blog Grumpy: Running Python on Go: talkpython.fm Brian's book: Python Testing with pytest: amzn.to/2DsYmiJ Sponsors Linode Rollbar Talk Python Training |
Dec 31, 2017 | ||||
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#144 Machine Learning at the Large Hadron Collider
00:58:22
We all know Python is becoming increasingly important in both science and machine learning. This week we journey to the very forefront of Physics.
You will meet Michela Paganini, Michael Kagan, and Matthew Feickert. They all work at the Large Hadron Collider and are using Python and machine learning to help make the next major discovery in Physics. Links from the show Michela on Twitter: @WonderMicky Michael on Twitter: @Michael_A_Kagan Matthew on Twitter: @HEPfeickert LHCb’s Starterkit: lhcb.github.io/starterkit Packages Keras: keras.io Scikit-optimize: scikit-optimize.github.io Scikit-HEP: scikit-hep.org PyTorch: pytorch.org Movie trailer: Particle Fever: youtube.com/watch?v=Rikc7foqvR Video: Processing LHC Data: youtube.com/watch?v=jDC3-QSiLB4 Books: Present at the Creation: Discovering the Higgs Boson: amzn.to/2jUYErc We Have No Idea: A Guide to the Unknown Universe: amzn.to/2Bohl09 Sponsors Linode Talk Python Training |
Dec 26, 2017 | ||||
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#143 Tuning Python Web App Performance
01:03:23
Do you run a web application or web service? You probably do a couple of things to optimize the performance of your site. Make sure the database response quickly and more. But did you know a well of performance improvements live in your web servers themselves?
Join Ben Cane and me to discuss how to optimize your Python web app as well as uWSGI and Nginx. Links from the show Ben on Twitter: @madflojo Ben's articles: bencane.com Tuning nginx: blog.codeship.com/tuning-nginx Tuning uWSGI: blog.codeship.com/getting-every-microsecond-out-of-uwsgi Eliminate the database for higher availability article: americanexpress.io/eliminate-the-database-for-higher-availability Tuning Postgres: blog.codeship.com/tuning-postgresql-with-pgbench Frozen flask: pythonhosted.org/Frozen-Flask Sponsors Rollbar GoCD Talk Python Training |
Dec 20, 2017 | ||||
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#142 Automating the web with Selenium and InstaPy
01:01:41
Is there some task you find yourself performing frequently, repetitively on the web? With Python and modern tooling, virtual every website has become easily scriptable.
I'm not talking about web scraping. I'm referring to Selenium which is a headless Python front-end to the full version of the Chrome browser. Join me and Tim Grossman as we talk about Selenium and how to automate the web. You'll learn about his project InstaPy which is a full Python package for almost any automation involving Instagram. Links from the show InstaPy on GitHub: github.com/timgrossmann/InstaPy Article: My open source Instagram bot got me 2,500 real followers for $5 in server costs: medium.freecodecamp.org Tim's talk at EuroPython: youtube.com/watch?v=4TmKFZy-ioQ Selenium: selenium-python.readthedocs.io Automate the boring stuff: automatetheboringstuff.com Sponsors Linode GoCD Talk Python Training |
Dec 13, 2017 | ||||
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#140 Level up your Python with #100DaysOfCode challenge
00:58:18
How do you learn libraries or parts of Python itself that you don't have actual work projects involving them? Whether that's SQLAlchemy, Slack bots, or map APIs, actually building projects (small and large) with them is really the only way to gain true competency.
You might try a 100 days of Python code challenges. This week you'll meet Bob Belderbos and Julian Sequeira who created PyBites. The have done a few 100 days of code challenges and are here to share their experience and some concrete examples. Links from the show PyBit.es: pybit.es 100days of code: github.com/pybites/100DaysOfCode PyBites Github: github.com/pybites PyBites Twitter: @pybites Bob Twitter: @bbelderbos Julian Twitter: @_juliansequeira Flask for Beginners with discount: udemy.com/python-flask-for-beginners PyBites Challenges List: pybit.es/pages/challenges.html Email pybitesblog@gmail.com if interested in joining our Slack Community where we discuss, share and work on Python Challenges and problems: pybitesblog@gmail.com Sponsors Rollbar GoCD Talk Python Training |
Nov 29, 2017 | ||||
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#139 Paths into a data science career
01:02:47
Data science is one of the fastest growing segments of software development. It takes a slightly different set of skills than your average full-stack development job. This means there's a big opportunity to get into data science. But how do you get into the industry?
That's what Hugo Bowne-Anderson is here to tell us all about. Links from the show Hugo on twitter: @hugobowne DataCamp:: datacamp.com DataFramed (Hugo's podcast): datacamp.com Conferences to check out All pydata conferences!: pydata.org (forgot to mention these) Odsc: odsc.com Aggregated lists (see what interests you): E.g. kdnuggets.com/meetings Select Data Science blogs/online resources DataCamp community: datacamp.com/community/tutorials Kdnuggets: kdnuggets.com O'Reilly data science blog: oreilly.com/topics/data Fast Forward Labs blog: blog.fastforwardlabs.com Sponsors Rollbar GoCD Talk Python Training |
Nov 22, 2017 | ||||
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#138 Anvil: All web, all Python
01:00:11
Have you noticed that web development is kind of hard? If you've been doing it for a long time, this is easy to forget. It probably sounds easy enough to
Pick a server side framework (Pyramid or Django?) Create a new project (pcreate, cookiecutter, manage.py, …) Install some client side dependencies with NPM Install some server side dependencies with pip Create a database (and maybe even a server install)! Connect the app to the db (securely) Pick a front-end framework (Bootstrap or Foundation?) Integrate it Whoa: Now you write code Ugh, time to deploy Oh wait, that doesn't sound so easy. What if the web was easy as old school VB 6 with drag-drop and double-click for event handlers, but with Python of course. With Anvil, you'll see it really is that quick to get started! Meet Meredydd Luff to tell us all about it. Links from the show Sponsors Linode GoCD Talk Python Training |
Nov 15, 2017 | ||||
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#137 Design concepts and tips for developers
00:58:03
Design has become a critical element in software. Back in the 90's, it was fine to produce or sell "battleship grey" apps that worked by did not do much to delight. Today, design is table stakes. And knowing how to design applications yourself and work with designers is a key still.
This episode, you'll meet James Stone who straddles that gap between developers and designers (he's both). He has a bunch of tips for improving your design skills as well as working with designers. Links from the show James on Twitter: @JAMESSTONEco James' page Design for Python devs: jamesstone.com/python-css-frameworks Sketch App (design tool): sketchapp.com Zeplin.io (auto redlining tool): zeplin.io Sympli.io (auto redlining tool): sympli.io Avocode.com (auto redlining tool): avocode.com Uncss (remove all unused css): github.com/giakki/uncss ZURB Style Sherpa (note: this can be used with any framework, ZURB Foundation, Bootstrap, or your own code): foundation.zurb.com/sites/docs/style-sherpa.html ZURB Template - basically a huge amount of Gulp.js based front-end tooling for rapid prototyping of front-end code: foundation.zurb.com/sites/docs/starter-projects.html Lorem Ipsum for Hipsters: hipsum.co Snowflake Stories (character builder - click randomizer): snowflakestories.com Design principles for developers course: lauraelizabeth.co Sponsors Linode GoCD Talk Python Training |
Nov 08, 2017 | ||||
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#135 Capturing human moments with AI and Python
00:54:09
We all have smartphones these days. And we take them with us everywhere we go. How much could you infer about a person (their stage in life, their driving style, their work / life balance) based on just a phone's motion and GPS data?
With the right mix of analytics and machine learning, turns out you can learn a lot about a person. Are they a dog-owning workaholic? Or an early rising parent of young children? This week you'll meet Vincent Spruyt. He is the chief data scientist at Sentiance. A company building an SDK to answer these exact questions. You'll learn how they are using Python to make this happen and how they think this data could be used for the great good. Links from the show Vincent on Twitter: @vincent_spruyt Sentiance blog: sentiance.com/blog Job openings: sentiance.com/jobs The demo app, Journeys: sentiance.com/demo Explanation video on Sentiance: youtube.com/watch?v=9WHhGycwmew And another video: youtube.com/watch?v=emTkGgQ-ejI MIT Innovators under 35 Europe award: innovatorsunder35.com/innovator/vincent-spruyt Vincent's personal blog: visiondummy.com Libraries TensorFlow: tensorflow.org Keras: keras.io XGboost: github.com/dmlc/xgboost CNN Networks: wikipedia.org/wiki/Convolutional_neural_network LSTM Networks: wikipedia.org/wiki/Long_short-term_memory DevPi: devpi.net/docs/devpi PyCharm: jetbrains.com/pycharm Python-Flamegraph: github.com/evanhempel/python-flamegraph Sponsors Datadog GoCD Talk Python Training |
Oct 27, 2017 | ||||
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#133 Productivity for developers
01:04:28
This episode is all about developer productivity. From continuous learning, to git source control tips, to tools and books for developers, Jay Miller from the Productivity in Tech podcast is here to share his experiences.
Links from the show PIT on Twitter: @productivedevs Jay on Twitter: @kjaymiller MongoDB Quickstart course (free): freemongodbcourse.com Books Hustle: The Life-Changing Effects of Constant Motion: amzn.to/2yqIGv5 Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future: amzn.to/2ypDOpT Balzac and the Little Chinese Seamstress - Dai Sijie: amzn.to/2kRYbZD What I Talk About When I Talk About Running by Haruki Murakamiby: amzn.to/2yrLR77 The Power of Positive No - William Ury: amzn.to/2gIbvvc How to be Everything - Emilie Wapnick: amzn.to/2zqGDHr The Accidental Creative - Todd Henry: amzn.to/2yp5ET4 Sponsors Linode GoCD Talk Python Training |
Oct 11, 2017 | ||||
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#132 Contributing to open source
01:04:44
Are you new to open source? Maybe been using it for a long time and never got around to contributing to it? Wondering how to get started?
In this episode, you'll meet Anthony Shaw, Dan Bader, and Ronald Maravanyika. All of these guys have been successful open source developers. I speak with them about how to find a welcoming project and what you need to know to get started. We also cover what open source project maintainers can do to help attract new and experienced contributors. Links from the show Anthony on Twitter: @anthonypjshaw Dan on Twitter: @dbader_org Ronald on Twitter: @RMaravanyika First PR Site: firstpr.me Adrienne's Imposter Disclaimer: github.com/adriennefriend/imposter-syndrome-disclaimer Kenneth Reitz on Burnout: kennethreitz.org/essays/the-reality-of-developer-burnout GitUp: gitup.co SourceTree: sourcetreeapp.com Sponsors Linode Talk Python Training |
Oct 04, 2017 | ||||
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#131 Top 10 machine learning libraries
00:54:08
Data science has been one of the major driving forces behind the explosion of Python in recent years. It's now used for AI research, controls some of the most powerful telescopes in the world, tracks crop growth and prediction and so much more.
But with all this growth, there is an explosion of data science and machine learning libraries. That's why I invited Pete Garcin onto the show. He's going to share his top 10 machine learning libraries. After this episode, you should be able to pick the right one for the job. Links from the show Pete on Twitter: @rawktron Pete on GitHub: github.com/rawktron ActivePython: activestate.com/activepython NeuroBlast AI Game: github.com/ActiveState/neuroblast The 10 Machine Learning Libraries Numpy/Scipy: numpy.org Scikit-Learn: scikit-learn.org Keras: keras.io TensorFlow: tensorflow.org Theano: deeplearning.net/software/theano Pandas: pandas.pydata.org Caffe/Caffe 2: caffe.berkeleyvision.org Jupyter: jupyter.org CNTK: microsoft.com/en-us/cognitive-toolkit NLTK: nltk.org Sponsors DataCamp Talk Python Training |
Sep 26, 2017 | ||||
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#130 10 books Python developers should be reading
00:52:28
One of the hallmarks of successful developers is continuous learning. The best developers I know don't just keep learning, it's one of the things that drives them. That's why I'm excited to bring you this episode on 10 books Python developers should read.
You'll meet Timo Koola who is an avid reader and self-learner in the Python space. He's found 10 books from his experience that have had huge affects on him and we'll discuss them next. Links from the show Timo on Twitter: @tkoola Newspaper package: github.com/codelucas/newspaper The 10 Books Automate the Boring Stuff with Python: amzn.to/2vyr1yD Python Pocket Reference: amzn.to/2tmH5XU Python Cookbook: amzn.to/2vfbAfz Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython: amzn.to/2u5lP60 Working Effectively with Legacy Code: amzn.to/2uwtigT Python Testing with pytest: amzn.to/2veXP0g Hands-On Machine Learning with Scikit-Learn and TensorFlow: amzn.to/2tco1rc About Face: The Essentials of Interaction Design: amzn.to/2uwtugk Thinking in Systems: A Primer: amzn.to/2u6FbJF Thinking, Fast and Slow: amzn.to/2tnnlTN Learn You a Haskell for Great Good!: amzn.to/2veOjdv Sponsors Rollbar Talk Python Training |
Sep 19, 2017 | ||||
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#126 Kubernetes for Pythonistas
00:59:39
Containers are revolutionizing the way we deploy and manage applications. These containers allow us to build, develop, test, and even deploy on the exact same system. We can build layered systems that fill in our dependencies. They even can play a crucial role in zero-downtime upgrades.
This is great, until you end up with 5 different types of containers, each of them scaled out, and you need to get them to work together, discover each other and upgrade together. That's where Kubernetes comes it. Today you'll meet Kelsey Hightower, a developer advocate on Google's cloud platform. Links from the show Kelsey on Twitter: @kelseyhightower Kelsey's PyCon Keynote: youtube.com/watch?v=u_iAXzy3xBA Kubernetes: kubernetes.io Kubernetes on GitHub: github.com/kubernetes FREE COURSE Scalable Microservices with Kubernetes by Google: udacity.com/course/scalable-microservices-with-kubernetes--ud615 Classic Programmer Paintings: classicprogrammerpaintings.com Sponsors Rollbar Talk Python Training |
Aug 22, 2017 | ||||
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#125 Django REST framework and a new API star is born
01:07:17
APIs were once the new and enabling thing in technology. Today they are table-stakes. And getting them right is important. Today we'll talk about one of the most popular and mature API frameworks in Django REST Framework. You'll meet the creator, Tom Christie and talk about the framework, API design, and even his successful take on funding open source projects.
But Tom is not done here. He's also creating the next generation API framework that fully embraces Python 3's features called API Star. Links from the show Django REST framework: django-rest-framework.org API Star: github.com/tomchristie/apistar Tom on Twitter: @_tomchristie Sponsors Linode Rollbar Talk Python Training |
Aug 15, 2017 | ||||
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#124 Python for AI research
00:55:20
We all know that Python is a major player in the application of Machine Learning and AI. That often involves grabbing Keras or TensorFlow and applying it to a problem. But what about AI research? When you're actually trying to create something that has yet to be created? How do researchers use Python here?
Today you'll meet Alex Lavin, a Python developer and research scientist at Vicarious where they are trying to develop artificial general intelligence for robots. Links from the show Alex on the web: lavin.io Alex on Twitter: @theAlexLavin Vicarious: vicarious.com NOVA's Great Robot Race Documentary: youtube.com Sponsors Linode Talk Python Training |
Aug 07, 2017 | ||||
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#123 Lessons from 100 straight dev job interviews
00:46:23
What if you could take the experience and insight from 100 job interviews and use them to find just the right job. You'd be able to weed out the bad places that are not the right fit. You'd see that low-ball offer coming a mile away and move right along.
But, no one could really do 100 consecutive interviews, right? That'd be a full-time job in and of itself! You'll meet Susan Tan who did just that. Links from the show Susan on Twitter: @ArcTanSusan Video presentation at PyCon 2017: youtube.com/watch?v=uzz5AaCWMps Susan's job_applicant_resources.md: gist.github.com Sponsors Talk Python Training |
Jul 31, 2017 | ||||
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#122 Home Assistant: Pythonic Home Automation
00:58:08
The past few years have seen an explosion of IoT devices. Many of these are for the so-called smart home. Their true potential lies in the ability to coordinate and automate them as a group.
How can you garage, wifi, chromecast, and window shades work together automatically? Chances are these are all from different manufacturers with different protocols and apps. That's why you need something like Home Assistant. This Python based app brings over 740 devices together and allows you to automate them as a whole. Today you'll meet Paulus Schoutsen who created Home Assistant. Links from the show Home Assistant: home-assistant.io Home Assistant Podcast: hasspodcast.io Paulus on Twitter: @balloob Home Assistant on Twitter: @home_assistant Hass.io OS announcment: home-assistant.io/blog/2017/07/25/introducing-hassio The perfect home automation vision: home-assistant.io/blog/2016/01/19/perfect-home-automation Michael on migrating to MongoDB: podcastinit.com/moving-to-mongodb-with-michael-kennedy-episode-119 Sponsors Rollbar Talk Python Training |
Jul 26, 2017 | ||||
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#121 Microservices in Python
01:05:51
Do you have big, monolith web applications or services that are hard to manage, hard to change, and hard to scale? Maybe breaking them into microservices would give you many more options to evolve and grow that app.
This week, we meet up again with Miguel Grinberg to discuss the trades offs and advantages of microservices. Links from the show Miguel on Twitter: @miguelgrinberg Miguel's blog: blog.miguelgrinberg.com Microservices Tutorial at PyCon: youtube.com/watch?v=nrzLdMWTRMM Flask Web Development (Amazon): amzn.to/1oVnibk Flask Web Development (O'Reilly): oreilly.com Sponsors Datadog Talk Python Training |
Jul 19, 2017 | ||||
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#120 Python in Finance
01:07:12
This week we'll enter the world of stock markets, trades, hedge funds and more. You'll meet Yves Hilpisch who runs The Python Quants where Python, open-source, education, and finance intersect.
Links from the show Yves on Twitter: @dyjh Personal site: hilpisch.com The Python Quants Group: tpq.io Yves on YouTube: youtube.com/results Quant platform: pqp.io DX Analytics: dx-analytics.com For Python Quants Bootcamp: fpq.io Python for Quant Finance Meetup: pqf.tpq.io Books: books.tpq.io Sponsors Linode Rollbar Talk Python Training |
Jul 12, 2017 | ||||
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#118 Serverless software
00:54:50
Let's consider the progression we've been on over the past 15 or so years.
We've gone from software and operating systems that we manage running on hardware that we own (and babysit), to virtual machines on our hardware, to IaaS in the cloud and PaaS in the cloud. Then onward to containers, usually docker, running on someone else's systems in the cloud, and maybe even microservices which are conglomerates of these containers working together managed by Kubernetes. Where do we go from there? I can't tell you the final destination, but I believe we've reached a leaf node in this hierarchy with our topic today. On this, episode 118 of Talk Python To Me, with Ryan Scott Brown, we are going to explore serverless computing. It's an interesting paradigm shift and I hope you enjoy this conversation. It was recorded May 24th, 2017. Links from the show Ryan on Twitter: @ryan_sb Ryan's site: serverlesscode.com Building Python 3 Apps On The Serverless Framework: serverlesscode.com/post/python-3-on-serverless-framework Hello Retail: github.com/Nordstrom/hello-retail iRobot on Lambda: youtube.com/watch?v=g0M0PN2bFFA ZAPPA: Serverless Python Web Services: zappa.io AWS Lambda: aws.amazon.com/lambda Building scikitlearn for AWS Lambda: serverlesscode.com/post/scikitlearn-with-amazon-linux-container Gone in 60 milliseconds: youtube.com/watch?v=YZ058hmLuv0 Ryan's course: The Serverless Framework with GraphQL: acloud.guru/learn/serverless-with-graphql Ryan's course: AWS Lambda: acloud.guru/learn/aws-lambda Sponsored Links Talk Python Courses: training.talkpython.fm Sponsors Rollbar Talk Python Training |
Jun 27, 2017 | ||||
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#117 Functional Python with Coconut
01:03:31
One of the nice things about the Python language is it's at least 3 programming paradigms in one: There's the procedural style, object-oriented style, and functional style.
This week you'll meet Evan Hubinger who is taking Python's functional programming style and turning it to 11. We're talking about Coconut. A full functional programming language that is a proper superset of Python itself. Show note: Sorry for the lower audio quality in my voice on this one. Looks like my primary mic had trouble and the fallback wasn't as good as it should be. Plus, I had mostly lost my voice from PyCon (PyCon!!! And other loud speaking). Links from the show Evan on Twitter: @EvanHub Evan on LinkedIn: linkedin.com/in/ehubinger Evan on GitHub: github.com/evhub Coconut: coconut-lang.org Coconut on GitHub: github.com/evhub/coconut Coconut Tutorial: coconut.readthedocs.io/en/master/HELP.html Coconut Docs: coconut.readthedocs.io/en/master/DOCS.html Coconut FAQ: coconut.readthedocs.io/en/master/FAQ.html Gitter channel: gitter.im/evhub/coconut Sponsors Rollbar Talk Python Training |
Jun 21, 2017 | ||||
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#116 10 top talks of PyCon 2017 reviewed
01:00:19
Whether you got to attend PyCon, there were just too many good talks to attend them all. Luckily our friends at the PSF were on top of publishing the videos online for the whole world to watch for free.
On this episode, we'll meet up with Brett Slatkin and replay his path through PyCon. We touch on his top 10 sessions from PyCon 2017. Links from the show Brett on Twitter: @haxor Effective Python on Amazon: amzn.to/1ETVjdk All sessions from PyCon: youtube.com/channel/UCrJhliKNQ8g0qoE_zvL8eVg Top 10 Talks Jake Vanderplas - Keynote: youtu.be/ZyjCqQEUa8o Static Types for Python: youtu.be/7ZbwZgrXnwY The Gilectomy How's It Going: youtu.be/pLqv11ScGsQ Optimizing Pandas Code: youtu.be/HN5d490_KKk Debugging in Python 3 6 Better, Faster, Stronger: youtu.be/NdObDUbLjdg Instagram Keynote: youtu.be/66XoCk79kjM Python from Space: youtu.be/rUUgLsspTZA Factory Automation with Python: youtu.be/cEyVfiix1Lw Dial M For Mentor: youtu.be/Wc1krFb5ifQ Sponsors Rollbar Codeship Talk Python Training |
Jun 12, 2017 | ||||
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#114 Empowering developers at the Hidden Genius project
00:38:02
As most of you know, learning to program opens doors. It takes every day people and turns them into creators. Once you know programming, and Python, you've passed through a door to a place with much more opportunity.
Now, consider the impact this could have if you grew up in an environment with less opportunity? With fewer people, you knew leading the way into software careers. Today you'll meet Sean Valentine and Landon Miller helping to run an amazing project and Mohammed Abdulla and Malik Poole who graduated from this project. It's called The Hidden Genius Project and it helps young black men become developers and entrepreneurs. Links from the show Hidden Genius Project: hiddengeniusproject.org Hidden Genius Project on Twitter: @hiddengeniuspro Hidden Genius Project on Facebook: facebook.com/TheHiddenGeniusProject Sponsored Links Intel Distribution for Python: talkpython.fm/intel Hired: hired.com/talkpythontome Talk Python Courses: training.talkpython.fm Sponsors Intel Talk Python Training |
May 30, 2017 | ||||
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#113 Dedicated AI chips and running old Python faster at Intel
00:53:02
Where do you run your Python code? No, not Python 3, Python 2, PyPy or the other implementations. I'm thinking waaaaay lower than that. This week we are talking about the actual chips that execute our code.
We catch up with David Stewart and meet Suresh Srinivas, and Sergey Maidanov from Intel. We talk about how they are working at the silicon level to make even Python 2 run faster and touch on dedicated AI chips that go beyond just what is possible with GPU-computation. Links from the show Intel Distribution for Python: software.intel.com/en-us/python-distribution Intel Commits To Nervana Roadmap For AI: forbes.com David Stewart: evangelists.intel.com/bio/David_Stewart David on Twitter: @davest Suresh Srinivas: linkedin.com Sergey Maidanov: linkedin.com Sponsored Links Hired: hired.com/talkpythontome Talk Python Courses: training.talkpython.fm Sponsors Talk Python Training Talk Python Training |
May 27, 2017 | ||||
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#111 Pythonic Career Advice and More
00:57:35
Time for some Pythonic job and career advice with Matt Harrison. Listen in as we discuss how most developer jobs never make it to full job listings and how you can get in on them. We also discuss his books and his avalanche research with the Pandas library.
Links from the show Matt on Twitter: @__mharrison__ Matt's startup: Far Better: farbetter.com Matt's dev training: metasnake.com Search for “Treading on Python” to find my books in most online stores Tiny Python 3.6 Notebook, UtahAvalanche, and more: github.com/mattharrison Matt's books Treading on Python Volume 1: Foundations of Python: amzn.to/2qe7XG7 Treading on Python Volume 2: Intermediate Python: amzn.to/2qDtFVG Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization: amzn.to/2qDE4jU Tiny Python 3.6 Notebook: Curated Examples (Treading on Python): amzn.to/2pIVJSz Sponsors Rollbar Talk Python Training |
May 13, 2017 | ||||
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#110 Data Democratization with Redash
00:56:02
Are you asked to generate reports from your company's data? Has someone suggested that you buy / deploy massive BI software that expensive, closed source, and generally underwhelming?
Well it's Redash and Python to the rescue. Today you'll meet Arik Fraimovich, the creator of Redash, whose goal is to make your company data driven by connecting to any data source, easily visualizing your data. Not only is it a cool open source project, it's an example of someone taking a successful open source project and building a business on top of it. Links from the show Journey from side project to open source company: medium.com/@arikfr Redash: redash.io Integrations: redash.io/integrations How to create new query runners: discuss.redash.io How to create new visualizations: discuss.redash.io Twitter (Redash): @getredash Twitter (Arik): @arikfr How to setup Redash: redash.io/help-onpremise Developer Guide: redash.io/help-onpremise/dev Redash on GitHub: github.com/getredash/redash Sponsored Links Intel® Distribution for Python: software.intel.com Hired: hired.com/talkpythontome Talk Python Courses: training.talkpython.fm Sponsors Intel Talk Python Training |
May 02, 2017 | ||||
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#109 MongoDB Applied Design Patterns
01:00:25
Database design and decisions use to be fairly straightforward. Pick your relational database engine, map out the general entities, apply the third-normal-form (3NF) to them and you're basically done.
With the Cambrian explosion of database options and variations created from 2009 to present, it gets much harder to even choose the database much less follow the well-worn path of 3NF. On this episode, you'll meet Rick Copeland, a fellow MongoDB Master and author of the book MongoDB Applied Design Patterns. We will discuss modeling data using documents in a document database such as MongoDB and some techniques that particular apply to MongoDB's implementation. Links from the show Rick on twitter: @rick446 Rick's blog: blog.pythonisito.com O'Reilly: MongoDB Applied Design Patterns: oreilly.com/product/0636920027041 Amazon: MongoDB Applied Design Patterns: amzn.to/2qx47oL Rick's Mongo Course: packtpub.com Ming ODM: ming.readthedocs.io PyMongo: api.mongodb.com/python MongoEngine: github.com/MongoEngine MongoKit: github.com/namlook/mongokit Mlab: mlab.com MongoDB Atlas: mongodb.com/cloud/atlas Sponsored Links Advance Digital: python.advance.net Hired: hired.com/talkpythontome Talk Python Courses: training.talkpython.fm Sponsors Advance .NET Talk Python Training |
Apr 29, 2017 | ||||
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#108 MicroPython and Open Source Hardware at Adafruit
01:04:43
Want to learn how to build an Iron-man like arc reactor accessory or maybe a solar charging backpack? What if you could program these devices with Python?
We'll be talking about a project and company making this possible. This week you'll meet Tony DiCola who works at Adafruit. A company making hardware programming accessible. We will also talk about micropython which lets you program these cool devices in Python! Links from the show: Tony D: @tdicola AdaFruit: adafruit.com Watch Tony D's Desk: youtube.com/playlist Projects learn.adafruit.com: Onion Pi: learn.adafruit.com/onion-pi GPS Dog Collar: learn.adafruit.com/gps-dog-collar LED Bicycle Handlebars: learn.adafruit.com/led-bicycle-handlebars DeLorean Time Circuit: learn.adafruit.com/delorean-time-circuit Raspberry Pi WiFi Radio: learn.adafruit.com/pi-wifi-radio Halloween Pumpkin: learn.adafruit.com/halloween-pumpkin Electronic Demon Costume: learn.adafruit.com/electronic-demon-costume Solar Charging Handbag: learn.adafruit.com/solar-charging-handbag Sponsored links Advance Digital Jobs: python.advance.net StrangeLoop Conference: talkpython.fm/strangeloop Talk Python Courses: training.talkpython.fm Sponsors Advance .NET Strange Loop Talk Python Training |
Apr 21, 2017 | ||||
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#107 Python concurrency with Curio
01:01:20
You have heard me go on and on about how Python 3.5's async and await changes the game for asynchronous programming in Python. But what exactly does that mean? How does it work in APIs? Internally?
Today I'm here with David Beazley who has been deeply exploring this space with his project Curio. Links from the show: Curio on GitHub: github.com/dabeaz/curio David: dabeaz.com David on Twitter: @dabeaz Ground up Concurrency Talk: youtube.com/watch?v=MCs5OvhV9S4 PeeWee ORM Async: github.com/05bit/peewee-async Sponsored links Rollbar: rollbar.com/talkpythontome Hired: hired.com Talk Python Courses: training.talkpython.fm Sponsors Rollbar Talk Python Training |
Apr 15, 2017 | ||||
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#106 Invent your own computer games with Python
00:58:12
Al Sweigart is back on Talk Python. This time we're inventing our own computer games.
Has anyone ever asked you for a resource to get started learning programming, learning Python? One excellent option is Al's book, just updated, called Invent Your own Computer Games with Python. That's what we're digging into right now. Links from the show: Invent with Python: inventwithpython.com Book: Automate the boring stuff: automatetheboringstuff.com Al at Github: github.com/asweigart @alsweigart: twitter.com/alsweigart Al's books at Amazon.com: * Invent Your Own Computer Games with Python * Making Games with Python and PyGame * Hacking Secret Ciphers with Python * Automate the Boring Stuff with Python Sponsored links Intel® Distribution for Python GetStream API Course bundles at Talk Python Sponsors Intel Talk Python Training |
Apr 07, 2017 | ||||
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#105 A Pythonic Database Tour
00:57:56
There are many reasons it's a great time to be a developer. One of them is because there are so many choices around data access and databases. So this week we take tour with our guest Jim Fulton of some databases you may not have heard of or given a try.
You'll hear about the pure Python database ZODB. There's Zero DB, an end-to-end encrypted database in which the database server knows nothing about the data it is storing, and NewtDb spanning the world of ZODB and JSON friendly Postgres. Links from the show: Jim on Twitter: @j1mfulton ZODB: zodb.org ZODB Book: zodb.readthedocs.io ZeroDB: opensource.zerodb.com NewtDb: newtdb.org Buildout: docs.buildout.org Two-tiered Kanban: github.com/feature-flow/twotieredkanban Jim's Webcast: Why Postgres Should be your Document Database: blog.jetbrains.com/pycharm/2017/03/why-postgres-should-be-your-document-database-webinar-recording Sponsored items GetStream Feed API: talkpython.fm/getstream Our courses: training.talkpython.fm Podcast's Patreon: patreon.com/mkennedy Sponsors Talk Python Training |
Mar 27, 2017 | ||||
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#102 Effective Code Reviews
00:50:52
How do you build reliable software with fewer bugs? Yes, unit testing is part of that. But did you know that code reviews often play a key role in this process and come with many benefits on top of just bug detection.
Links from the show: PyCon Talk: Effective Code Review: youtube.com/watch?v=uIwl01Nazdg Dougal on Twitter: @d0ugal Dougal's site: dougalmatthews.com EuroPython 2017: ep2017.europython.eu Presentation slides: speakerdeck.com/d0ugal/effective-code-review Vulture package: github.com/jendrikseipp/vulture Sponsors Rollbar Talk Python Training |
Mar 08, 2017 | ||||
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#101 Adding a full featured Python environment to Visual Studio Code
00:55:11
You know the two questions I asked at the end of each episode?
What's your favorite editor for writing Python code and what less-well-known PyPI package do you recommend? Well this time, we are making a whole episode out of "What's your favorite editor". You'll meet Don Jayamanne who created the wildly popular and open source Python add-in for Visual Studio Code. That's not the Windows-only Visual Studio, but Microsoft's free cross-platform editor. Links from the show: Visual Studio Code: code.visualstudio.com Python extension: marketplace.visualstudio.com/items?itemName=donjayamanne.python Python source: github.com/DonJayamanne/pythonVSCode Jedi Library: github.com/davidhalter/jedi Sponsored items Our courses: training.talkpython.fm Hired: hired.com/talkpythontome Podcast's Patreon: patreon.com/mkennedy Sponsors Talk Python Training |
Mar 03, 2017 | ||||
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#100 Python past, present, and future with Guido van Rossum
01:02:33
Welcome to a very special episode. This is the 100th episode of Talk Python To Me. It's the perfect chance to take a moment and look at where we have come from, and where we are going. Not just with regard to the podcast but for Python in general.
And who better to do this than Python's inventor himself. Guido van Rossum. In this episode, we discuss how Guido go into programming, where Python came from and why, and Python's bright future with Python 3. Links from the show: Guido on Twitter: @gvanrossum What's New In Python 3.6: docs.python.org/3/whatsnew/3.6.html mypy: mypy-lang.org Sponsored items Rollbar: rollbar.com/talkpythontome Hired: hired.com/talkpythontome Our courses: training.talkpython.fm Podcast's Patreon: patreon.com/mkennedy Sponsors Rollbar Talk Python Training |
Feb 22, 2017 | ||||
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#99 Morepath: Super Powered Python Web Framework
01:04:52
One of the areas where Python truly shines is on the web. Many well known websites like YouTube, Pintrest, and Spotify are powered by Python. In the mid 2000's, a number of powerful and popular frameworks were created such as Django, Flask, and Pyramid.
It may feel like the choices of web frameworks and innovation in that space if baked and done. But we are actually seeing an explosion of new frameworks for new web paradigms. In this episode, you'll meet Martijn Faassen who created Morepath. A relatively new web framework built to be a first class citizen of this JavaScript, client-side web paradigm popular in many web apps today. Links from the show: Maritijn on Twitter: @faassen Morepath and its foundations: morepath.readthedocs.io reg: reg.readthedocs.io dectate: dectate.readthedocs.io Static resource publishing fanstatic: fanstatic.org bowerstatic: bowerstatic.readthedocs.io Lxml: lxml.de Numpy: numpy.org pandas: pandas.pydata.org Click: click.pocoo.org Pyglet (opengl binding): pyglet.readthedocs.io Sponsored links Metis: thisismetis.com/talkpython Hired: hired.com/talkpythontome Talk Python Courses: training.talkpython.fm Sponsors Metis Talk Python Training |
Feb 15, 2017 | ||||
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#98 Adding concurrency to Django with Django Channels
01:05:14
One of the major areas of innovation in Python 3 is advances in async and concurrent programming. Yet, when working with any of the major web frameworks: django, flask, or pyramid, this is basically no concurrent option. That's why Andrew Godwin decided to tackle the issue on the django side with django channels.
Links from the show: Docs: channels.readthedocs.io Source: github.com/django/channels Andrew on Twitter: @andrewgodwin Sponsored offers Metis Data Science Courses: thisismetis.com/talkpython Hired: hired.com Talk Python Courses: training.talkpython.fm Sponsors Metis Talk Python Training |
Feb 08, 2017 | ||||
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#96 Exploring Awesome Python
00:52:20
Python is said to be a language that comes with "batteries included". That has many meanings depending on the level you're focusing on. At the lowest, it's a very rich and expressive language. Most commonly it means Python has a powerful and comprehensive standard library (itertools and elementtree anyone?).
But more holistically, most of the batteries are external, interchangeable ones, from PyPI. Right now, http://pypi.io has 97,326 packages listed on it. That's fantastic. However, it does lead to a discoverability problem. What options do I have for admin backends on web apps, cryptography, raw socket programming, and so on? This week, Matt Makai is back with me (remember him from episode 26 last year?). We're talking about Awesome Python. A website and open source project attempting to categorize and somewhat rank these options. Links from the show: Awesome Python: awesome-python.com Full Stack Python: fullstackpython.com Matt Makai: @mattmakai The 10 Choices six: pypi.org/project/six/ bokeh: github.com/bokeh/bokeh mkdocs: mkdocs.org python-Markdown: github.com/waylan/Python-Markdown wagtail: wagtail.io python-patterns: github.com/faif/python-patterns authomatic: peterhudec.github.io/authomatic beaker: github.com/bbangert/beaker passlib: pythonhosted.org/passlib pip-tools: github.com/nvie/pip-tools Sponsors Anaconda, Inc Talk Python Training |
Jan 25, 2017 | ||||
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#95 Grumpy: Running Python on Go
00:52:09
Google runs millions of lines of Python code. The front-end server that drives youtube.com and YouTube’s APIs is primarily written in Python, and it serves millions of requests per second!
On this episode you'll meet Dylan Trotter who is working increase performance and concurrency on these servers powering YouTube. He just launched Grumpy: A Python implementation based on Go, the highly concurrent language from Google. Links from the show: Grumpy home page (redirects): grump.io Grumpy at github: github.com/google/grumpy Announcement post: opensource.googleblog.com/2017/01/grumpy-go-running-python.html Dylan on Github: github.com/trotterdylan Deep Learning Kickstarter: kickstarter.com/projects/adrianrosebrock/1866482244 Hired's Talk Python Offer: hired.com/talkpythontome Sponsors Talk Python Training PyImageSearch |
Jan 18, 2017 | ||||
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#94 Guarenteed packages via Conda and Conda-Forge
00:46:31
Have you ever had trouble installing a package you wanted to use in your Python app? Likely it contained some odd dependency, required a compilation step, maybe even using an uncommon compiler like Fortran. Did you try it on Windows? How many times have you seen "Cannot find vcvarsall.bat" before you had to take a walk?
If this sounds familiar, you might want to check conda the package manager, Anaconda, the distribution, conda forge, and conda build. They dramatically lower the bar for installing packages on all the platforms. This week you'll meet Phil Elson, Kale Franz, and Michael Sarahan who all work on various parts of this ecosystem. Note: The fact that Continuum, the company behind conda is sponsoring this episode and the topic is about conda is a pure coincidence. This show was recorded long before Continuum came on as a sponsor and they only have a week or two to get the word out about their conference in February. I just want to be clear that I featured conda on the show because I believe it's a really cool project. Hope you do too. Links from the show: conda: conda.pydata.org conda-build: conda.pydata.org/docs/commands/build/conda-build.html Anaconda distribution: continuum.io/anaconda-overview conda-forge: conda-forge.github.io Phil Elson on Twitter: @pypelson Kale Franz: @kalefranz Michael Sarahan: github.com/msarahan Sponsors Anaconda, Inc MongoDB Talk Python Training |
Jan 11, 2017 | ||||
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#93 Spreading Python through the sciences with Software Carpentry
01:01:34
You often hear that we need to teach computer science as a foundational skill. Why? Well I'm not sure many of the leaders pushing this forward have great answers other than jobs!
But it is fundamentally important that we do teach programming as a core skill. The reason is whatever you specialty, be that biology, psychology, or geosurveys, basic programming will supercharge that skill. That's why I'm excited to introduce you to Software Carpentry and Jonah Duckles. They are bringing these skills and more to scientists and educators throughout the globe. Links from the show: Software Carpentry: software-carpentry.org SC on twitter: @swcarpentry Jonah on twitter: @jduckles Host a workshop at your organization: software-carpentry.org/workshops/request SC Newsletter: software-carpentry.us14... Build a local community of instructors: software-carpentry.org/scf/join More papers and books: software-carpentry.org/reading Sponsors Rollbar MongoDB Talk Python Training |
Jan 03, 2017 | ||||
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#91 Top 10 Data Science Stories of 2016
1:07:34
It's been an amazing year for Python and Data Science. It's time to look back at the major headlines and take stock in what we've done as a community.
I've teamed up with the Partially Derivative podcast and we're running down the top 10 data science stories of 2016 in this joint episode. Links from the show: Top 10 Stories #1 White House comes out strong on ethics in data: whitehouse.gov #2 Social bots distort the 2016 U.S. Presidential election online discussion: firstmonday.org #3 Data science fails at predicting the US election: kdnuggets.com #4 Google teaches "AIs" to invent their own crypto and avoid eavesdropping: arstechnica.com #5 The Rise of Deep Learning: medium.com qz.com youtube.com #6 The Digital Mammography DREAM Challenge: synapse.org #7 Microsoft's Tay: theverge.com #8 William Stein is leaving academia to start a company around Sage: reddit.com #9 DeepMind kicks butt at Go: theverge.com #10 Elon Musk thinks we’re probably living in the Singularity: vox.com Partially Derivative podcast: partiallyderivative.com Popily (Jonathon's Company): popily.com [sponsor] Rollbar: rollbar.com [sponsor] AnacondaCON: anacondacon17.io Sponsors Rollbar Anaconda, Inc Talk Python Training |
Dec 27, 2016 | ||||
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#90 Data Wrangling with Python
1:01:35
Do you have a dirty, messy data problem? Whether you work as a software developer or as a data scientist, you've surely run across data that was malformed, incomplete, or maybe even wrong. Don't let messy data wreck your apps or generate wrong results.
What should you do? Listen to this episode of Talk Python To Me with Katharine Jarmul about the book she co-authored called Data Wrangling with Python and her PyCon UK presentation entitled How to Automate your Data Cleanup with Python. Links from the show: Katharine on the web: kjamistan.com Katharine on twitter: @kjam Book: Data Wrangling with Python: Tips and Tools to Make Your Life Easier: amzn.to/2fGc0Cx Pycon 2016: How to Automate your Data Cleanup with Python: youtube.com/watch?v=gp-ngPV_ZX8 Packages from Data Cleanup talk Dedupe Python Library: github.com/datamade/dedupe probablepeople: github.com/datamade/probablepeople usaddress: github.com/datamade/usaddress jellyfish: github.com/jamesturk/jellyfish Fuzzywuzzy: github.com/seatgeek/fuzzywuzzy scrubadub: github.com/datascopeanalytics/scrubadub pint: pint.readthedocs.io arrow: github.com/crsmithdev/arrow pdftables.six: github.com/vnaydionov/pdftables Datacleaner: github.com/rhiever/datacleaner Parserator: github.com/datamade/parserator Gensim: radimrehurek.com/gensim Faker: github.com/joke2k/faker Dask: dask.pydata.org SpaCy: spacy.io Airflow: airflow.incubator.apache.org Luigi: luigi.readthedocs.io Hypothesis (testing): hypothesis.works Katharine's courses Data Pipelines with Python shop.oreilly.com/product/0636920055334.do Data Wrangling & Analysis with Python. Learn Pandas shop.oreilly.com/product/0636920051831.do Sponsors Rollbar: rollbar.com/talkpythontome GoCD: go.cd Sponsors Rollbar GoCD Talk Python Training |
Dec 21, 2016 | ||||
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#88 Lightweight Django
00:59:58
Django is a very popular Python web framework. One reason is you have many building blocks to drop in for large sections of your application. Need a full-on admin table editor backend? That's a few lines of code and boom you have a basic table editor.
This applies to many people. But those of us, myself included, who appreciate lightweight frameworks where we choose just what is included and piece together our web apps from best-of-breed components find this a turn off. This week you'll meet Julia Elman and Mark Lavin, authors of Lightweight Django who are here to dispel the myth that Django apps have to be built out of large building blocks. Links from the show: Lightweight Django by Julia Elman and Mark Lavin: shop.oreilly.com/product/0636920032502.do Twitter: @juliaelman Julia Elman web: juliaelman.com Mark Lavin web: mlavin.org Mark's Twitter: @DrOhYes Lightweight Django code examples : github.com/lightweightdjango Intermediate Django: Building Modern, Scalable, and Maintainable Web Applications by Mark Lavin: shop.oreilly.com/product/0636920040903.do Sponsors GoCD: go.cd pyup.io: pyup.io Sponsors GoCD pyup Talk Python Training |
Dec 06, 2016 | ||||
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#87 PonyORM: The most Pythonic ORM yet?
00:56:29
If you could have any API you want for accessing data from Python, what would it look like? What would make it Pythonic? This week you'll hear about Pony ORM: Pony is a Python ORM with beautiful query syntax that lets you write your database queries using Python generators and lambdas.
Links from the show: Pony ORM: ponyorm.com Alexey on Twitter: @amalashkevich PonyORM GitHub: github.com/ponyorm PonyORM Twitter: @ponyorm Getting started with PonyORM: docs.ponyorm.com Pony ORM Editor: editor.ponyorm.com 2014 epython talk: youtube.com/watch?v=0PlpU8sMm80 JSON Data in PonyORM: docs.ponyorm.com/json.html JSON1 Extension for SQLite: sqlite.org/json1.html PonyORM eStore sample: github.com/ponyorm/pony/blob/orm/pony/orm/examples/estore.py eStore Entity-Relationship Diagram: editor.ponyorm.com/user/pony/eStore Explore the diagrams: editor.ponyorm.com/explore Sponsors Rollbar GoCD Talk Python Training |
Nov 29, 2016 | ||||
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#84 Are we failing to fund Python's core infrastructure?
01:05:27
When was the last time you used a 3rd party package in Python? Have you recently pip installed SQLAlchemy? Maybe looked up the documentation on a package you found on PyPI?
The two core pieces of infrastructure involved are both freely available and open source: pip and PyPI as well as ReadTheDocs. How are these funded? How well are they funded? It turns out that we are not doing a good job sustaining the underlying infrastructure in the Python ecosystem. This week you'll meet four panelists for a discussion on the problem and its solutions. Donald Stufft from PyPI and pip. Eric Holscher, Cofounder of read the docs. Carol Willing, Director of the Python Software Foundation, Project Jupyter core developer. Ewa Jodlowska, Director of Operations for the Python Software Foundation. Links from the show: Roads and Bridges: The Unseen Labor Behind Our Digital Infrastructure: fordfoundation.org/library/reports-and-studies... Donald Stufft: @dstufft Eric Holscher: @ericholscher Carol Willing: @WillingCarol Ewa Jodlowska: @ewa_jodlowska Talk Python #64: Inside the Python Package Index: talkpython.fm/episodes/show/64 Hire Me (Donald Stufft, post HPE): caremad.io/posts/2016/10/hire-me Sponsors Rollbar GoCD Talk Python Training |
Nov 08, 2016 | ||||
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#84 Are we failing to fund Python's core infrastructure?
01:05:27
When was the last time you used a 3rd party package in Python? Have you recently pip installed SQLAlchemy? Maybe looked up the documentation on a package you found on PyPI?
The two core pieces of infrastructure involved are both freely available and open source: pip and PyPI as well as ReadTheDocs. How are these funded? How well are they funded? It turns out that we are not doing a good job sustaining the underlying infrastructure in the Python ecosystem. This week you'll meet four panelists for a discussion on the problem and its solutions. Donald Stufft from PyPI and pip. Eric Holscher, Cofounder of read the docs. Carol Willing, Director of the Python Software Foundation, Project Jupyter core developer. Ewa Jodlowska, Director of Operations for the Python Software Foundation. Links from the show: Roads and Bridges: The Unseen Labor Behind Our Digital Infrastructure: fordfoundation.org/library/reports-and-studies... Donald Stufft: @dstufft Eric Holscher: @ericholscher Carol Willing: @WillingCarol Ewa Jodlowska: @ewa_jodlowska Talk Python #64: Inside the Python Package Index: talkpython.fm/episodes/show/64 Hire Me (Donald Stufft, post HPE): caremad.io/posts/2016/10/hire-me Sponsors Rollbar GoCD Talk Python Training |
Nov 08, 2016 | ||||
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#83 Python Videos on Demand at PyVideo
00:53:26
Have you ever searched for a Python educational video? Maybe how to get started with Pyramid, or running queries with SQLAlchemy's ORM layer?
There is a good chance you've run across PyVideo.org. This amazing site catalogs over 5,000 Python videos from most of the recent Python conferences among other places. Browse by speaker, topic, event and more. This week you'll meet Paul Logston who has taken over leadership of the project when it was in danger of going dormant. Links from the show: PyVideo: pyvideo.org PyVideo on Twitter: @PyvideoOrg Pyvideo on Github: https://github.com/pyvideo Paul on Twitter: @PaulLogston Unidecode package: pypi.org/project/Unidecode CPython Code Walk: talkpython.fm/episodes/show/22 Sponsors GoCD Talk Python Training |
Nov 02, 2016 | ||||
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#81 Python and Machine Learning in Astronomy
01:02:13
The advances in Astronomy over the past century are both evidence of and confirmation of the highest heights of human ingenuity. We have learned by studying the frequency of light that the universe is expanding. By observing the orbit of Mercury that Einstein's theory of general relativity is correct.
It probably won't surprise you to learn that Python and data science play a central role in modern day Astronomy. This week you'll meet Jake VanderPlas, an astrophysicist and data scientist from University of Washington. Join Jake and me while we discuss the state of Python in Astronomy. Links from the show: Jake on Twitter: @jakevdp Jake on the web: staff.washington.edu/jakevdp Python Data Science Handbook: shop.oreilly.com/product/0636920034919.do Python Data Science Handbook on GitHub: github.com/jakevdp/PythonDataScienceHandbook Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data: press.princeton.edu/titles/10159.html PyData Talk: youtube.com/watch?v=qOOk6l-CHNw eScience Institue: @UWeScience Large Synoptic Survey Telescope: lsst.org AstroML: Machine Learning and Data Mining for Astronomy: astroml.org Astropy project: astropy.org altair package: pypi.org/project/altair Sponsors GoCD Data School Talk Python Training |
Oct 21, 2016 | ||||
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#80 TinyDB: A tiny document db written in Python
00:47:01
NoSQL and document dbs like MongoDB have made building fast scalable software that is easy to evolve and maintain much easier for a broad class of applications. Embeddable, file-based databases like SQLite have made "shipping" an application requiring a database a no brainer. The database just runs in process so there is no setup or maintenance.
Yet, when you try to intersect these two excellent capabilities, you'll find the options very limited. There just aren't many embeddable document databases. If you're a Python developer, and you want a native Python solution, the options are much slimmer still. That's why I'm excited to introduce you to Markus Siemens and TinyDb. This is a 100% pure python, embeddable, pip-installable document DB for Python. Links from the show: Markus on Twitter: @siem3m Markus on the Web: m-siemens.de TinyDb (github): github.com/msiemens/tinydb TinyDb (docs): tinydb.readthedocs.io TinyDb (PyPI): pypi.org/project/tinydb CodernityDB: labs.codernity.com/codernitydb Buzhug: buzhug.sourceforge.net Ultra JSON package: pypi.org/project/ujson How to Extend TinyDB: tinydb.readthedocs.io/en/latest/extend.html Extensions: tinydb.readthedocs.io/en/latest/extensions.html Sponsors Talk Python Training |
Oct 16, 2016 | ||||
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#79 Beeware Python Tools
01:22:14
Could you write me a Python app for the wide range of platforms out there? Oh, wait, I want them to be native GUI applications. And I need them on mobile (Android, iOS, tvOS, and watchOS) as well as major desktop apps. I also need them to appear indistinguishable from native apps (be a .app on macOS, .exe on Windows, etc).
What technology would you use for this? This week I'll introduce you to a wide set of small, focused and powerful tools that make all of this, and more, possible. We're speaking with Russell Keith-Magee, founder of the Beeware project. Links from the show: Beeware Project: pybee.org Russell Keith-Magee: @freakboy3742 Beeware on GitHub: github.com/pybee Organizing areas of the project Tools: pybee.org/project/projects/tools Applications: pybee.org/project/projects/applications Libraries: pybee.org/project/projects/libraries Bridges: pybee.org/project/projects/bridges Templates: pybee.org/project/projects/templates Support: pybee.org/project/projects/support Sponsors Rollbar Talk Python Training |
Oct 07, 2016 | ||||
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#78 How I built an entire game and toolchain 100% in Python
00:53:26
What kind of applications can you build with python? You hear me featuring many people on this show that build websites, web services, or some data science driven application. Of course, all of those are wonderful but I know many of you have dreamed of building a game.
This episode I'm interviewing Joseph Cherlin. He created the game Epikos and the entire tool chain entirely in Python. He has a great story about how he came across Python, why he decided to use it in his game, and advice he has for anyone out there taking on a large project like this. Links from the show: Joseph on twitter: @JJC_Coder Epikos website: epikosrpg.com Screenshots: epikosrpg.com/screenshots Famous Reddit post: reddit.com/r/Python/comments/4hazs4/how_i_built_an_entire_game_and_toolchain_100_in PyGame: pygame.org Indie Overlook review: indieoverlook.com/2016/04/15/epikos Indie Game: The Movie: indiegamethemovie.com Sponsors Talk Python Training GoCD |
Sep 28, 2016 | ||||
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#77 20 Python Libraries You Aren't Using (But Should)
01:16:54
Many of you write to me and tell me how you appreciate the way my guests and I highlight a particular Python package at the end of each episode. Well if you enjoy that little segment, you're going to love this episode.
This week you'll meet Caleb Hattingh who wrote a great book called 20 Python Libraries You Aren't Using (But Should). He and I spend an hour digging into all the very powerful and interesting packages that you probably haven't heard of but will be super excited to use after you learn about them. Links from the show: Caleb on twitter: @caleb_hattingh Book: 20 Python Libraries You Aren't Using (But Should): oreilly.com/programming/free/20-python-libraries-you-arent-using-but-should.csp Learning Cython course: shop.oreilly.com/product/0636920046813.do Python-specific Slack group online (~ 2.5k members): pythondevelopers.herokuapp.com Sponsors Capital One Intel Talk Python Training |
Sep 23, 2016 | ||||
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#77 20 Python Libraries You Aren't Using (But Should)
01:16:54
Many of you write to me and tell me how you appreciate the way my guests and I highlight a particular Python package at the end of each episode. Well if you enjoy that little segment, you're going to love this episode.
This week you'll meet Caleb Hattingh who wrote a great book called 20 Python Libraries You Aren't Using (But Should). He and I spend an hour digging into all the very powerful and interesting packages that you probably haven't heard of but will be super excited to use after you learn about them. Links from the show: Caleb on twitter: @caleb_hattingh Book: 20 Python Libraries You Aren't Using (But Should): oreilly.com/programming/free/20-python-libraries-you-arent-using-but-should.csp Learning Cython course: shop.oreilly.com/product/0636920046813.do Python-specific Slack group online (~ 2.5k members): pythondevelopers.herokuapp.com Sponsors Capital One Intel Talk Python Training |
Sep 23, 2016 | ||||
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#75 Pythonic games at CheckIO
00:55:27
Do you like to play games or solve puzzles? Chances are pretty good that you do. After all, what is programming and software development but one really elaborate puzzle?
On this episode of Talk Python To Me, you meet someone who pushed this idea of programming as a game to its logical conclusion. Alexander Liabakh is the creator of CheckIO and Empire of Code. CheckIO is a programming adventure game where you solve puzzles and share them with fellow players. Empire of Code is a tower defense game where part of the strategy is to actually program AI in Python. Links from the show: CkeckIO: checkio.org CheckiO Twitter: @PlayCheckiO Alex's user profile on CheckiO: py.checkio.org/user/oduvan Michael's user profile on CheckiO: py.checkio.org/user/mkennedy Talk Python CheckIO class: py.checkio.org/group/talk-python-listeners Check io missions: github.com/CheckiO-Missions Sponsors Talk Python Training GoCD |
Sep 09, 2016 | ||||
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#74 Past, Present, and Future of IronPython
00:50:48
Have you heard of IronPython and Jython? These two alternate implementations of Python were created by Jim hugunin. They run on top of the .NET and JVM runtimes. On this episode going to look at the story of IronPython. It's been around for many years. Although the last few years, it's been somewhat stagnant.
That's why I am thrilled to introduce you to Alex Earl, who along with Benedikt Eggers, has become the maintainer of the IronPython project. It's great to see IronPython getting the attention it deserves. We'll talk about IronPython past, present, future on this episode of Talk Python To Me. Links from the show: IronPython on Github: github.com/IronLanguages IronPython History: en.wikipedia.org/wiki/IronPython Alex on twitter: @alexcearl Article on revival of IronPython: infoworld.com/article/3096748/open-source-tools/python-for-net-rises-from-the-dead.html Announcement on transfer of maintainers: mail.python.org/pipermail/ironpython-users/2016-July/017649.html MS announcement cutting IronPython loose: blogs.msdn.microsoft.com/jasonz/2010/10/21/new-components-and-contributors-for-ironpython-and-ironruby Sponsors Talk Python Training GoCD |
Sep 02, 2016 | ||||
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#73 Machine learning at the new Microsoft
01:04:43
In this episode we catch up with David Crook, a developer evangelist at Microsoft. He is a co-organizer for the Fort Lauderdale Machine Learning User Group and is involved in many more user groups and meetups. You hear about some really cool projects where they are using Python and TensorFlow to work on simple things like growing more food to help feed the world.
Links from the show: David on Twitter: @data4bots David on the web: dacrook.com/ Fort Lauderdale machine learning UG: meetup.com/Fort-Lauderdale-Machine-Learning-Meetup Azure machine learning: azure.microsoft.com/en-us/services/machine-learning TensoFlow: tensorflow.org Sponsors Talk Python Training Capital One |
Aug 26, 2016 | ||||
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#72 Fashion-driven open source software at Zalando
01:01:18
What happens when you take a tech-driven online fashion company that is experiencing explosive growth and infuse it with a deep open-source mission? You'll find out on this episode of Talk Python To Me.
We'll meet Lauri Apple and Rafael Caricio from Zalando where developers there have published almost 200 open source projects on Github.
Links from the show: Zalando: zalando.com Lauri on Twitter: @LauritaApplez Rafael on Twitter: @rafaelcaricio Thoughtworks Tech Radar: thoughtworks.com/radar Jobs at Zalando: tech.zalando.de/jobs Zalando at GitHub: zalando.github.io STUPS: stups.io Connexion project: github.com/zalando/connexion Patroni project: github.com/zalando/patroni What is Swagger?: swagger.io NSEnter package: github.com/jpetazzo/nsenter Sponsors Talk Python Training GoCD |
Aug 19, 2016 | ||||
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#70 Pythonic cover songs at Loudr
01:01:39
Some of the best songs are cover songs of popular music. If you're a musician who wants to create a cover song and actually sell it, you'll be diving deep into complex agreements and legal agreements with record labels. Sounds like no fun to me.
But this is where Python comes to the rescue! The guys and girls over at Loudr are using Python to create a service for creating, selling, and distributing cover songs. This week you'll meet one of the co-founders, Josh Whelchel. He's here to tell us all the cool ways Python makes this possible, including a touch of machine learning! Links from the show: Loudr: loudr.fm Jobs a Loudr: angel.co/loudr/jobs Josh on Twitter: @soundofjw Josh on the web: joshwhelchel.com Soundcloud: soundcloud.com/joshwhelchel Multimedia Fusion: clickteam.com PALE on Github: github.com/Loudr/pale Google App Engine: cloud.google.com mutagen package: pypi.org/project/mutagen Ex Machina: youtube.com/watch?v=XYGzRB4Pnq8 Doom: SLIGE: doom.wikia.com/wiki/SLIGE Boys of Summer Cover song: vimeo.com/27669666' Sponsors Rollbar GoCD Talk Python Training |
Aug 05, 2016 | ||||
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#69 Write an Excellent Programming Blog
00:57:41
Do you have a blog? How many articles have you written for it? Do you find it hard to keep writing or hard to get started doing technical writing? We might be able to help you out with that this week.
You're probably aware that blogging is one of the key ways to establish yourself as a thought-leader in the industry. You'll make more connections, open more opportunities, and likely find your work more rewarding if you share your experiences and expertise through blogging. But it can be challenging to keep writing or find time for writing. That's why I asked A. Jesse Jiryu Davis from MongoDB to share his thoughts on writing an excellent programming blog. You'll even learn about Jesse's 5 "design patterns" for blogging to help break writer's block. Links from the show: PyCon Talk by Jesse: youtube.com/watch?v=eHXq-IzlGUE Excellent blog article: bit.ly/excellent-blog Unyielding by Glyph: glyph.twistedmatrix.com/2014/02/unyielding.html Assigning to a threadlocal is not thread-safe: emptysqua.re/blog/another-thing-about-pythons-threadlocals Growing Open Source Seeds: kennethreitz.org/essays/growing-open-source-seeds Why does this Python code raise a SyntaxWarning?: akaptur.github.io/blog/2014/06/11/of-syntax-warnings-and-symbol-tables Review of O'Reilly's Building Node Applications with MongoDB and Backbone: emptysqua.re/blog/building-node-applications-mongodb-backbone Planet Python: planet.python.org Coding with Knives blog: codingwithkniv.es 500 Lines or Less Chapter: https://github.com/aosabook/500lines Python for Entrepreneurs Kickstarter: talkpython.fm/launch Sponsors GoCD Intel Talk Python Training |
Jul 26, 2016 | ||||
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#68 Crossing the streams with Podcast.__init__
01:02:21
Have you listened to the other major Python podcast hosted by Tobias Macey and Chris Patti? It's called podcast.__init__ and, like this show, they have some excellent stories from the Python ecosystem on there weekly. So recently some listeners from both shows suggested the unimaginable: That we 'cross the streams'...
We, despite Egon's warning, are going to do it anyway. Recall in the movie ghost busters they defeat Gozer by doing just that. This time when we cross the streams the result is less dramatic, but something awesome comes out the other side too! A fun podcast episode. Hosts of Podcast.__init__ 
Tobias Macey 
Chris Patti Links from the show: Podcast.__init__: pythonpodcast.com Podcast__init__ on Twitter: @Podcast__init__ Tobias on Twitter: @TobiasMacey Chris on Twitter: @feoh Recommended episode: Episode 37 - The PEP Talk: podcastinit.com/the-pep-talk.html Recommended podcasts Curious Minds: cmpod.net Hidden Brain: npr.org/podcasts/510308/hidden-brain Data Skeptic: dataskeptic.com Wait Wait Don't Tell Me!: npr.org/podcasts/344098539/wait-wait-don-t-tell-me TED Radio Hour: npr.org/programs/ted-radio-hour/?sc=embed&f=225426662&showDate=2016-07-08 99% Invisible: 99percentinvisible.org Risky Business: risky.biz/netcasts/risky-business Rational Security: spaghettionthewallproductions.com/rational-security Hardcore History: dancarlin.com/hardcore-history-series Ruby Rogues: devchat.tv/ruby-rogues Sponsors Talk Python Training GoCD |
Jul 20, 2016 | ||||
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#67 Property-based Testing with Hypothesis
00:58:17
Let's talk about your unit testing strategy. How do you select the tests you write or do you even write tests? Typically, when you write a test you have to think of what you are testing and the exact set of inputs and outcomes you're looking for. And there are strategies for this. Try to hit the boundary conditions, the most common use-cases, seek out error handling and so on.
We all do this to varying degrees of success. But we if we didn't have to do this. What if there was some kind of way to express the relationship between inputs and outputs but your tests could explore the problem space themselves? Well, there is a way and it's called property-based testing. This week you'll learn about Hypothesis, the most popular property based testing system created by David MacIver. Links from the show: Hypothesis framework: hypothesis.works Hypothesis on github: github.com/HypothesisWorks/hypothesis-python Matt Bachmann - Better Testing With Less Code at PyCon: youtube.com/watch?v=jvwfDdgg93E David on the web: drmaciver.com Sponsors Talk Python Training GoCD |
Jul 13, 2016 | ||||
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#65 Jump on the real-time web with RethinkDB
00:59:22
Long gone are the days of the web acting as just linked documents and glorified brochures. Web apps of today are just that, rich interactive applications. But unlike desktop apps of old, these are apps with 100,000's or even millions of concurrent users.
We expect that these apps will instantly reflect changes to the data, potentially made by any of the users connected to the system while we are using them. This has put a strain on the web servers, databases, and architecture of our web apps. Technology has responded by delivering amazing real-time capabilities with things like websockets and SignalR at the client layer and event driven systems on the web servers. But what about the database? Could it be events all the way down? That was the goal of RethinkDB's cofounders when they pitched it to YCombinator. Links from the show: RethinkDB: rethinkdb.com RethinkDB on github: github.com/rethinkdb/rethinkdb Rethink on Twitter: @rethinkdb Slava on Twitter: @spakhm horizonjs on Twitter: @horizonjs Quickstart: rethinkdb.com/docs/quickstart Horizon.js: horizon.io Horizon cloud: horizon.io/cloud Sponsors Talk Python Training GoCD |
Jun 29, 2016 | ||||
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#64 Inside the Python Package Index
00:59:51
What is the most powerful part of the Python ecosystem? Well, the ability to say "pip install magic_library" has to be right near the top. But do you what powers the Python Package Index and the people behind it? Did you know it does over 300 TB traffic each month these days?
Just me as we chat with Donald Stufft to look inside Python's package infrastructure. Links from the show: Donald on Twitter: @dstufft Donald on the web: caremad.io Powering the Python Package Index: caremad.io/2016/05/powering-pypi/ A Year of PyPI Downloads: caremad.io/2015/04/a-year-of-pypi-downloads Donate to PPA: donate.pypi.io PyPI (Legacy): pypi.python.org/pypi Warehouse (new PyPI): pypi.io BigQuery Data Source: mail.python.org/pipermail/distutils-sig/2016-May/028986.html Sponsors GoCD Rollbar Talk Python Training |
Jun 24, 2016 | ||||
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#62 San Diego Technology Immersion Group Learns Python
01:09:21
What's it like to learn Python? Yes, some of you may have just picked up the language while others have lived and breathed it for years. Either way, you may have some hindsight bias towards the experience. What was hard? What were your expectations? What delighted you?
Consider this episode your time-capsule to explore just this experience, 10 months in the making. It starts on July 22, 2015 with a unique user group / meetup called San Diego Technology Immersion Group or SDTIG for short. This group spends 6-8 months deep diving together into a topic rather than hearing a different 1 hour topic per month. We'll follow the organizers and students before many of them learn a line of Python all the way to the end 8 months later after they've studied the language, web, and data science frameworks. Links from the show: SDTIG Meetup: meetup.com/San-Diego-Technology-Immersion-Group-SDTIG Crafting Bytes: craftingbytes.com Scott Reed: @mscottreed Brad Cunningham: @foovanadil Ike Ellis: @ike_ellis Python recorded meetups Meeting 1: youtu.be/IbYyVh5BZws Meeting 2: youtu.be/LN-kUWW_9wM Meeting 3: youtu.be/OOnMHo6x-6c Meeting 4: youtu.be/_W8AcWcjd3U Meeting 5: youtu.be/KF0ufWzhs6U Meeting 6: youtu.be/ai9eorc7zLA Meeting 7: youtu.be/nxvwVty9cDs Meeting 8 (final): youtu.be/ELp-iLJ26is Sponsors Talk Python Training GoCD |
Jun 07, 2016 | ||||
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#61 Free software, free people
00:54:18
How often do you read some news headline about free speech denied and human rights being suppressed and think that sucks but there is nothing I can do about it from my distant perspective. I guess you could vote slightly differently in the next election and maybe, just maybe, it will have a small impact in 4 years time.
If you're a technologist or developer, you have way more power than you realize. Still the challenge is could you use your skills to make a difference? Maybe you could remove a layer surveillance or add a layer of anonymity for the affected people. If the answer is yes, and it probably is, then the question becomes would you do and even should you act? This week on Talk Python To Me you'll meet Pete Fein who spent two years of his life helping others using his technical skills. His story is both inspiring and amazing. It will show you what can be done to help people in need. Links from the show: Pete on twitter (personal): @wearpants Pete on twitter (tech): @petecode Pete on BBC: bbc.com/news/magazine-17914501 Datalove in a Time of Cyberwar (video): .youtube.com/watch?v=I7GhNK6K8fQ Free Software, Free People - PyCon 2015: youtube.com/watch?v=A3dimvwrnO8 Telecomix.org: telecomix.org Slashdot article: yro.slashdot.org/story/11/10/05/1249209/telecomix-releases-54gb-of-syrian-censorship-logs Blue Coat WSJ Article: wsj.com/articles/SB10001424052970203687504577001911398596328 Transcripts on GitHub: github.com/mikeckennedy/talk-python-transcripts Anthony Shaw's Graph: twitter.com/anthonypjshaw/status/734339624605257728 Sponsors Talk Python Training GoCD |
May 30, 2016 | ||||
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#60 Scaling Python to 1000's of cores with Ufora
01:07:28
You've heard me talk previously about scaling Python and Python performance on this show. But on this episode I'm bringing you a very interesting project pushing the upper bound of Python performance for a certain class of applications.
You'll meet Braxton McKee from Ufora. They have developed an entirely new Python runtime that is focused on horizontally scaling Python applications across 1000's of CPU cores and even GPUs. They describe it as "compiled, automatically parallel python for data science". Links from the show: Ufora Platform: ufora.github.io/ufora/ Ufora on Github: github.com/ufora Ufora company: ufora.com Braxton on Twitter: @braxtonmckee Sponsors GoCD Talk Python Training |
May 24, 2016 | ||||
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#60 Scaling Python to 1000's of cores with Ufora
01:07:28
You've heard me talk previously about scaling Python and Python performance on this show. But on this episode I'm bringing you a very interesting project pushing the upper bound of Python performance for a certain class of applications.
You'll meet Braxton McKee from Ufora. They have developed an entirely new Python runtime that is focused on horizontally scaling Python applications across 1000's of CPU cores and even GPUs. They describe it as "compiled, automatically parallel python for data science". Links from the show: Ufora Platform: ufora.github.io/ufora/ Ufora on Github: github.com/ufora Ufora company: ufora.com Braxton on Twitter: @braxtonmckee Sponsors GoCD Talk Python Training |
May 24, 2016 | ||||
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#59 SageMath - Open source is ready to compete in the classroom
00:59:24
What do you do when you are a high caliber mathematician or scientist and you want share your algorithms and code? This sounds like a job for github, but the problem is often this work is done on proprietary platforms such as Magma, Matlab, Mathematica or others.
Not only can you not share your licenses for say, Matlab, but there are often proprietary separate libraries and tools for specialized work. These are expensive products. One example from my distant past was using the Wavelet toolbox on Matlab. Matlab is 2,000 euros and the wavelet library is another 1,000 euros! So to share my code, you must have both licenses for yourself. This is a problem. Well, if you're William Stein you take this problem and turn it into an opportunity to build an open source competitor to Matlab and related platforms. This episode is all about SageMath, an open source, feature rich option for scientists and mathematicians built by over 500 contributors and consisting of over 500k lines of Python and Cython code. Sponsors Talk Python Training GoCD |
May 18, 2016 | ||||
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#58 Create better Python programs with concurrency, libraries, and patterns
00:54:51
What do you focus on once you've learned the core concepts of the Python programming language and ecosystem?
Obviously, knowing a few fundamental packages in your space is critical. If you're a web developer, you should probably know flask or pyramid, and sqlalchemy really well. If you're a data scientist, import pandas, numpy, matplotlib need to be something you type often and intuitively. But then what? Well I have a few topics for you! This week you'll meet Mark Summerfield, prolific author of many Python books. We spend time digging into the ideas behind his book Python in Practice: Create Better Programs Using Concurrency, Libraries, and Patterns. What I really like about these topics is that they have a "long shelf life". You find them relevant over time even as frameworks come and go. Links from the show: Mark on the web: qtrac.eu Books: Python in Practice: Create Better Programs Using Concurrency, Libraries, and Patterns: amzn.to/1SMkk4n Programming in Python 3: A Complete Introduction to the Python Language: amzn.to/24quCP1 Rapid GUI Programming with Python and Qt: The Definitive Guide to PyQt: amzn.to/1TlYHUk Advanced Qt Programming: Creating Great Software with C++ and Qt 4: amzn.to/1SMkpVr Programming in Go: Creating Applications for the 21st Century: amzn.to/1TlYO28 Advanced Python 3 Programming Techniques: amzn.to/1SMkvwp Programming in Python 3: A Complete Introduction to the Python Language: amzn.to/24quYF2 Packages: APSW package: rogerbinns.github.io/apsw cx_freeze: cx-freeze.sourceforge.net pywin32: sourceforge.net/projects/pywin32 roman package: pypi.python.org/pypi/roman wmi package: timgolden.me.uk/python/wmi Records: SQL for Humans: kennethreitz.org/essays/introducing-records-just-write-sql Extras: Michael's episode on Away From The Keyboard pocdast: awayfromthekeyboard.com Updated course / player: talkpython.fm/course Sponsors Talk Python Training GoCD |
May 10, 2016 | ||||
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#56 Data Science from Scratch
00:51:03
You likely know that Python is one of the fastest growing languages for data science.
This is a discipline that combines the scientific inquiry of hypotheses and tests, the mathematical intuition of probability and statistics, the AI foundations of machine learning, a fluency in big data processing, and the Python language itself. That is a very broad set of skills we need to be good data scientists and yet each one is deep and often hard to understand. That's why I'm excited to speak with Joel Grus, a data scientist from Seattle. He wrote a book to help us all understand what's actually happening when we employ libraries such as scikit-learn or numpy. It's called Data Science from Scratch and that's the topic of this week's episode. Links from the show: Book: Data Science from Scratch: amzn.to/1rhcbdT Joel on Twitter: @joelgrus Joel on the web: joelgrus.com Partially Derivative Episode: partiallyderivative.com Allen Institute for Artificial Intelligence: allenai.org Data Science Libraries numpy: numpy.org Numpy episode: #34: Continuum: Scientific Python and The Business of Open Source: talkpython.fm/episodes/show/34 pandas: pandas.pydata.org scikit-learn: scikit-learn.org scikit-learn episode: #31: Machine Learning with Python and scikit-learn: talkpython.fm/episodes/show/31 matplotlib: matplotlib.org Google's TensorFlow: tensorflow.org Sponsors GoCD Talk Python Training |
Apr 27, 2016 | ||||
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#53 Python in Visual Studio
00:50:41
What's your favorite Python editor? That is one of the questions I always ask at the end of the episode. This week I want to shine a light on a fantastic answer to that question for Windows developers: Visual Studio.
On this episode, you'll meet Steve Dower, from Microsoft's Python Tools for Visual Studio team. He's here to tell us all about it. We also cover Python on Windows, CPython, the 2016 BUILD conference and more. Links from the show: Python Tools for Visual Studio: aka.ms/python PTVS Blog: aka.ms/pythonblog Steve on Twitter: @zooba Steve on Web: stevedower.id.au Visual Studio Community Edition (Free): visualstudio.com/en-us/products/visual-studio-community-vs.aspx BUILD 2016 Keynotes: channel9.msdn.com/Events/Build/2016 Visual Studio Code (cross platform): visualstudio.com/products/code-vs.aspx Ubuntu on Windows (Native): .hanselman.com/blog/DevelopersCanRunBashShellAndUsermodeUbuntuLinuxBinariesOnWindows10.aspx Sponsors GoCD Talk Python Training |
Apr 06, 2016 | ||||
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#52 EVE Online: MMO game powered by Python
00:54:35
Have you ever played a massively multiplayer online game? My first experience with these types of games with text-based role playing games called MUDs back in the early 90's. Well, things have come a long way since then. Game such as Eve Online have hundreds of thousands of players exploring, trading, and battling within a universe of over 7,000 star systems. Gameplay in Eve Online consists of beautiful 3D space flight within a dynamic universe and many real world players.
You may have played Eve Online as it's one of the first major MMOs released in 2003. But did you know that Python is at the core of the game, playing a critical role in the backend infrastructure as well as a major role in the client side game itself! On this episode, you'll meet Kristinn Sigurbergsson from CCP games to dig into Python at Eve Online. Links from the show: Eve Online: eveonline.com Kristinn on Twitter: @CCP_Tuxford Michael's Video Course: https://training.talkpython.fm/courses/details/python-language-jumpstart-building-10-apps Sponsors Talk Python Training GoCD |
Mar 27, 2016 | ||||
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#51 SigOpt: Optimizing Everything with Python
00:37:50
You've heard that machine intelligence is going to transform our lives any day now. This is usually presented in a way that is vague and non-descript.
This week on Talk Python To Me you'll meet Patrick Hayes the CTO at SigOpt whose goal is to accelerate your machine learning by "optimizing everything". That's a pretty awesome goal! Listen in on this episode to learn all about it! This is episode number 51, recorded March 3rd 2016. Links from the show: Patrick on Twitter: @pfjhayes SigOpt on Twitter: @sigopt SigOpt: sigopt.com SigOpt Blog: blog.sigopt.com SigOpt Research: sigopt.com/research MOE: github.com/sigopt/moe Michael's Video Course: https://training.talkpython.fm/courses/details/python-language-jumpstart-building-10-apps Sponsors Talk Python Training GoCD |
Mar 21, 2016 | ||||
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#50 Web scraping at scale with Scrapy and ScrapingHub
00:58:17
What do you do when you are working with an amazing web application that, for whatever reason, doesn't have an API? One option is to say I wish that site had an API and give up. Or, you could use scrapy, an open source web scraping framework from Pablo Hoffman and scrapinghub.com and create your own API!
On episode 50 of Talk Python To Me, we'll talk about how to do this, when it makes sense, and even when it's allowed. Links from the show: Scrapy Project: scrapy.org Scraping Hub: scrapinghub.com Pablo on Twitter: @PabloHoffman Pablo' site: pablohoffman.com Michael's Video Project: blog.michaelckennedy.net/2016/02/16/im-building-20-online-python-courses-and-i-need-your-help-video-course-library-announced Sponsors Talk Python Training GoCD |
Mar 15, 2016 | ||||
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#49 Microsoft's JIT-based Python Project: Pyjion
01:03:45
This episode you'll learn about a project that has the potential to unlock massive innovation around how CPython understands and executes code. And it's coming from what many of you may consider an unlikely source: Microsoft and the recently open-sourced, cross-platform .NET Core runtime.
You'll meet Brett Cannon who works on Microsoft's Azure Data group. Along with Dino Viehland, he is working on a new initiative called Pyjion (pronounced Pigeon) P-y-j-i-on, a JIT framework that can become part of CPython itself paving the way for many new just-in-time compilation initiatives in the future. Links from the show: Pyjion project: github.com/Microsoft/Pyjion Brett's PyData Keynote on interpreters: youtube.com/watch?v=NdJ9BxgRpOY Philip Guo's CPython internals episode (#22): talkpython.fm/episodes/show/22 Brett on Twitter: @brettsky Michael's Video Project: blog.michaelckennedy.net/2016/02/16/im-building-20-online-python-courses-and-i-need-your-help-video-course-library-announced Sponsors Talk Python Training GoCD |
Mar 08, 2016 | ||||
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#49 Microsoft's JIT-based Python Project: Pyjion
01:03:45
This episode you'll learn about a project that has the potential to unlock massive innovation around how CPython understands and executes code. And it's coming from what many of you may consider an unlikely source: Microsoft and the recently open-sourced, cross-platform .NET Core runtime.
You'll meet Brett Cannon who works on Microsoft's Azure Data group. Along with Dino Viehland, he is working on a new initiative called Pyjion (pronounced Pigeon) P-y-j-i-on, a JIT framework that can become part of CPython itself paving the way for many new just-in-time compilation initiatives in the future. Links from the show: Pyjion project: github.com/Microsoft/Pyjion Brett's PyData Keynote on interpreters: youtube.com/watch?v=NdJ9BxgRpOY Philip Guo's CPython internals episode (#22): talkpython.fm/episodes/show/22 Brett on Twitter: @brettsky Michael's Video Project: blog.michaelckennedy.net/2016/02/16/im-building-20-online-python-courses-and-i-need-your-help-video-course-library-announced Sponsors Talk Python Training GoCD |
Mar 08, 2016 | ||||
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#48 Building Flask-based Web Apps
00:49:08
When you think of Python web microframeworks, Flask is definitely near the top of the list. With almost 19,000 stars on GitHub it's a powerful and extensible web framework and it even powers the bandwidth intensive audio delivery of the Talk Python To Me podcast.
In this episode, number 48, we'll talk with Miguel Grinberg who has written some amazing Flask tutorials, books, and open source projects! Links from the show: Miguel on Twitter: @miguelgrinberg Miguel's blog: blog.miguelgrinberg.com "Flask At Scale" tutorial at PyCon 2016 in Portland: blog.miguelgrinberg.com/post/flask-at-scale-tutorial-at-pycon-2016-in-portland Flask Web Development (Amazon): amzn.to/1oVnibk Flask Web Development (O'Reilly): http://shop.oreilly.com/product/0636920031116.do?cmp=af-webplatform-books-videos-product_cj_9781449372620_%25zp Open source projects Flask-SocketIO: github.com/miguelgrinberg/Flask-SocketIO Flask-Migrate: github.com/miguelgrinberg/Flask-Migrate Flask-HTTPAuth: github.com/miguelgrinberg/Flask-HTTPAuth python-socketio: github.com/miguelgrinberg/python-socketio Flask-Moment: github.com/miguelgrinberg/Flask-Moment Flask-PageDown: github.com/miguelgrinberg/Flask-PageDown Climax: github.com/miguelgrinberg/climax Introduction to the PuDB Python Debugging Tool: heather.cs.ucdavis.edu/~matloff/pudb.html Course Kickstarter: talkpython.fm/course Michael's Online courses project: blog.michaelckennedy.net/2016/02/16/im-building-20-online-python-courses-and-i-need-your-help-video-course-library-announced Talk Python Training: https://training.talkpython.fm/ Sponsors Talk Python Training GoCD |
Mar 01, 2016 | ||||
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#47 Python in Typeface and Font Development
00:44:39
This week on Talk Python To Me, we'll dive into the world of typeface and font development. Even though we spend our days immersed in fonts, from our computer interfaces, signs, books, television and more, much of the process and thinking about fonts is invisible to us. If we dig into font development, we'd see that Python is a key component of the font developer's toolkit.
This week we have a very special guest to tell us all about it. We'll talk with Just van Rossum about how he has helped pioneer the use of Python for font development. Links from the show: FontTools Code: github.com/behdad/fonttools Drawbot: www.drawbot.com Drawbot Images: dailydrawbot.tumblr.com Robofont UFO Editor: robofont.com Helvetica Movie Trailer: youtube.com/watch?v=wkoX0pEwSCw Objectified Movie (Follow on): youtube.com/watch?v=S9E2D2PaIcI Michael's Video Project: blog.michaelckennedy.net/2016/02/16/im-building-20-online-python-courses-and-i-need-your-help-video-course-library-announced Sponsors Talk Python Training GoCD |
Feb 23, 2016 | ||||
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#46 Python in Movies and Entertainment
00:57:13
What did you experience the last time you watched a movie in a theater? Were you captivated by fast-paced action and special effects? Deeply moved by the characters that came to life during those two hours when the outside world just melted away? Yeah, movies are still magical.
What was likely not top of mind was all the work that went into that movie, from the editing of the audio and video, the special effects, renderings, and coordination of maybe 100's of creative professionals. It turns out that Python plays a key role in coordinating all of this production work and that's what this episode is all about. Join me as I talk with Rob Blau from Autodesk about Python in the movies and entertainment business. Links from the show: Autodesk: autodesk.com Maya (3D animation): autodesk.com/products/maya Rob Blau: linkedin.com/in/robblau Michael's course: Python Jumpstart by Building 10 Apps: talkpython.fm/course Pyjion by Microsoft: github.com/Microsoft/Pyjion IronPython: ironpython.net Sponsors GoCD Talk Python Training |
Feb 16, 2016 | ||||
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#45 The Python Testing Column, Now a Thing
00:58:49
What is the role, the core purpose of writing tests for your application? Should you write more unit tests and fewer integration tests, or is it actually the other way around? You may have heard of the test pyramid with unit tests building the foundation. In this episode we talk about a variation on that theme called the test column. We talk about this and more with Brian Okken on this episode of Talk Python To Me.
Links from the show: Brian on Twitter: @brianokken Python Test Podcast: testpodcast.com Brian's episode with Harry Percival: pythontesting.net/podcast/harry-percival-pt009 Harry Percival on Talk Python: talkpython.fm/episodes/show/10 eBook: Python Testing with unittest, nose, pytest: pythontesting.net/books/python-testing-ebook Working Effectively with Legacy Code: amzn.to/1PYjBNX Sponsors Talk Python Training GoCD |
Feb 09, 2016 | ||||
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#44 Project Jupyter and IPython
01:00:11
One of the fastest growing areas in Python is scientific computing. In scientific computing with Python, there are a few key packages that make it special. These include NumPy / SciPy / and related packages. The one that brings it all together, visually, is IPython (now known as Project Jupyter). That's the topic on episode 44 of Talk Python To Me.
You'll learn about "the big split", the plans for the recent $6 million in funding, Jupyter at CERN and the LHC and more with Min RK & Matthias Bussonnier. Links from the show: Project Jupyter: jupyter.org Min RK: @minrk Matthias Bussonnier: @mbussonn Complexity graph: grokcode.com/864/snakefooding-python-code-for-complexity-visualization Jess Hamrick deployment: developer.rackspace.com/blog/deploying-jupyterhub-for-education My Binder: mybinder.org Try Jupyter: try.jupyter.org Lorena Barba's AeroPython course: github.com/barbagroup/AeroPython Jessica Hamrick's Ansible scripts: github.com/compmodels/jupyterhub-deploy Jake Vanderplas blogging with notebooks: jakevdp.github.io Peter Norvig's regex golf notebook: nbviewer.jupyter.org/url/norvig.com/ipython/xkcd1313.ipynb SageMathCloud: cloud.sagemath.com First version of IPython: gist.github.com/fperez/1579699 Historical perspective: blog.fperez.org/2012/01/ipython-notebook-historical.html Sponsors Talk Python Training GoCD |
Feb 02, 2016 | ||||
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#43 Monitoring high performance Python apps at Opbeat
00:39:33
What does it take to track detailed analytics and errors from literally thousands of web applications all at once? Could you build such a system entirely in Python?
The answer is yes and we'll hear from Ron Cohen from Opbeat about how they do it for Django, Flask, and even NodeJS apps. Links from the show: Sponsors Talk Python Training GoCD |
Jan 26, 2016 | ||||
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#42 Python in Startups and Investing
00:54:38
Have you ever dreamt of creating a startup that will change the world? You and your two best friends leave the dull world of writing internal business apps and go heads-down for three months to launch something amazing?
It turns out that Python plays a key role in many early stage startups. And this week's guest, Leah Culver has some amazing experience and stories about both! Links from the show: Leah on Twitter: @leahculver Leah's website: leahculver.com Grove: grove.io Convore [historical]: wikipedia.org/wiki/Convore Pownce [historical]: wikipedia.org/wiki/Pownce boto package: github.com/boto Startup music #1: Takin' VC Money by Smixx Startup music #2: Seed round by Smixx Sponsors Talk Python Training GoCD |
Jan 19, 2016 | ||||
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#41 Getting your first dev job as a Python developer (part 2)
00:52:17
How often do you meet people who are looking to get into the software development space? Do they ask you for advice? Maybe they want to know your story of how you got started and landed that first big job. Maybe they want to know what they should be doing right now.
This episode of Talk Python To Me is the second in a two part series that attempts to bring a wide spectrum of thoughts on this discussion. It's "Getting your first dev job as a Python developer, part 1", episode number 41, recorded December 10th 2015. Links from the show: Soft Skills: The software developer's life manual: Manning.com (print and ebook) manning.com/books/soft-skills Amazon.com (print only) amzn.to/1IZrXfL The End of Jobs: Money, Meaning and Freedom Without the 9-to-5: amzn.to/1Q6RoDP Hired's Listener Special: hired.com/talkpythontome Sponsors Talk Python Training GoCD |
Jan 12, 2016 | ||||
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#40 Top 10 Data Science Stories from 2015
00:59:19
It's the end of the year and many of you are probably kicking and taking it easy without a TPS report to be seen. So we'll keep this fun and lighthearted this week. We've teamed up with the Partially Derivative podcast and we're running down the top 10 data science stories of 2015 in this joint episode.
Links from the show: Jonathon Morgan: goodattheinternet.com @jonathonmorgan Partially Derivative Podcast: partiallyderivative.com Popily Private Beta: popily.com #1 You’ll Never Keep Your New Year’s Resolutions: fivethirtyeight.com/datalab/how-fast-youll-abandon-your-new-years-resolutions #2 Serial: Superfans Solve with Stats: fivethirtyeight.com/features/the-superfans-using-stats-to-get-to-the-bottom-of-serial #3 $6M funding for Jupyter / IPython: blog.jupyter.org/2015/07/07/jupyter-funding-2015 #4 All of a Sudden People Freak Out About AI: cnet.com/news/artificial-intelligence-experts-sign-open-letter-to-protect-mankind-from-machines Mario with sentience: mashable.com/2015/01/19/super-mario-artificial-intelligence Mario video: youtu.be/AplG6KnOr2Q #5 Our Gates Were Deflated: slate.com #6 The US gets its first Chief Data Scientist: gigaom.com/2015/02/05/dj-patil-has-joined-the-white-house-to-wrangle-data-issues Open-Source Society (PyOhio 2015 keynote): pyvideo.org/video/3671/keynote-by-catherine-devlin #7 Winter is Coming. Probably - Bayesian analysis and GoT: allendowney.blogspot.com/2015/03/bayesian-survival-analysis-for-game-of.html The War Of The Five Kings, A Dataset: github.com/chrisalbon/war_of_the_five_kings_dataset #8 Microsoft Offends Everyone by Guessing How Old We Are: how-old.net #9 The Biggest Political Science Study of the Year...Was a Fraud: vox.com/2015/5/20/8630535/same-sex-marriage-study The Big Sort: Why the Clustering of Like-Minded America Is Tearing Us Apart: amzn.to/1miT8gA #10 Python jumps to all time high in popularity: tiobe.com/index.php/content/paperinfo/tpci/ Sponsors Talk Python Training Digital Ocean |
Dec 29, 2015 | ||||
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#39 Getting your first dev job as a Python developer (part 1)
00:50:44
How often do you meet people who are looking to get into the software development space? Do they ask you for advice? Maybe they want to know your story of how you got started and landed that first big job. Maybe they want to know what they should be doing right now.
This episode of Talk Python To Me is the first in a two part series that attempts to bring a wide spectrum of thoughts on this discussion. It's "Getting your first dev job as a Python developer, part 1", episode number 39, recorded December 10th 2015. Links from the show: Soft Skills: The software developer's life manual: Manning.com (print and ebook) manning.com/books/soft-skills Amazon.com (print only) amzn.to/1IZrXfL The End of Jobs: Money, Meaning and Freedom Without the 9-to-5: amzn.to/1Q6RoDP Hired's Listener Special: hired.com/talkpythontome SOLID Principles book: amzn.to/1Op81UY Sponsors Talk Python Training Codeship |
Dec 22, 2015 | ||||
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#38 Continuous Integration and Delivery at Codeship
01:02:50
Have you heard about the works on my machine certification program? It's a really awesome certification for developers. It was created by Joseph Cooney and enhanced by Jeff Atwood (of stackoverflow fame). Here's how it works:
1. Compile your application code. Getting the latest version of any recent code changes from other developers is purely optional and not a requirement for certification. 2. Launch the application or website that has just been compiled. 3. Cause one code path in the code you're checking in to be executed. The preferred way to do this is with ad-hoc manual testing of the simplest possible case for the feature in question. Omit this step if the code change was less than five lines, or if, in the developer's professional opinion, the code change could not possibly result in an error. 4. Check the code changes into your version control system. Congratulations! You're fully certified. On this episode of Talk Python To Me, you'll meet Florian Motlik from codeship. He's here to tell us all continuous integration and continuous delivery. Maybe he can help keep you and your team from getting certified, in a bad way! Links from the show: Codeship: codeship.com CI with Docker: blog.codeship.com/continuous-integration-and-delivery-with-docker Florin's website: flomotlik.me Florin on Twitter: @flomotlik Works on my machine cert: blog.codinghorror.com/the-works-on-my-machine-certification-program Sponsors Talk Python Training Digital Ocean |
Dec 15, 2015 | ||||
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#37 Python Cybersecurity and Penetration Testing
01:04:02
How secure is your application? Do you know the main vulnerabilities that most apps suffer from? How would you even start answer these questions? On this episode of Talk Python To Me, Justin Seitz is here to tell us all about it.
Links from the show: Justin on Twitter: @jms_dot_py OS INT Course: automatingosint.com Black Hat Python: amzn.to/1OIg5mC Grey Hat Python: amzn.to/1QW3D60 XKCD: Exploits of a Mom: xkcd.com/327 Bellingcat: bellingcat.com OWASP 10: owasp.org OS X Malware & Pandas: countermeasure.ca/documents/2015/presentations/Russ-Nolan.pd Talk Python OpenCV Episode: talkpython.fm/episodes/show/11 Mr. Robot Trailer: youtube.com/watch?v=Ug4fRXGyIak datutil: dateutil.readthedocs.org Music: MC Front Alot: frontalot.com Secrets from the future lyrics: frontalot.com/index.php/?page=lyrics&lyricid=41 Sponsors Talk Python Training Codeship |
Dec 08, 2015 | ||||
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#36 Python IDEs with the PyCharm team
00:59:43
As a software developer, what's the most important application on your computer? If your answer is Microsoft Outlook, my heart goes out to you - stay strong! But for most of us, it's probably a toss up between your web browser and code editor. For editors, there are basically two camps: lightweight smart, text editors such as vim, emacs, and sublime text and heavy weight but highly functional IDEs such as PyDev and PyCharm. This week you'll meet Dmitry Trofimov who is one of the main developers behind one of my favorite editors: PyCharm.
Links from the show: JetBrains: jetbrains.com PyCharm: jetbrains.com/pycharm 9 reasons you should be using PyCharm: bit.ly/whypycharm Dmitry on Twitter: @dmitrytrofimov Sponsors Talk Python Training |
Dec 01, 2015 | ||||
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#35 Turbogears and the future of Python web frameworks
01:01:15
Do you have a new web project coming up? Are you thinking of choosing Django or maybe Flask? Those are excellent frameworks, but you might also want to check out TurboGears. It was created and released around the same time as Django. It lets you starts your project as a microframework (like Flask) and yet can scale up to a fullstack solution (like Django). It also has built-in support both relational DBs (via SQLAlchemy) and MongoDB. This week Alessandro Molina is here to tell us all about TurboGears!
Links from the show: TurboGears: turbogears.org TurboGears presentations: turbogears.org/welcome/presentations.htm TurboGears on Github: github.com/TurboGears/tg2 Kajiki Templates: pythonhosted.org/Kajiki Depot Library: depot.readthedocs.org DukPy: github.com/amol-/dukpy WebAssets: webassets.readthedocs.org TurboGears documentation on Genshi: turbogears.readthedocs.org/en/latest/turbogears/genshi-xml-templates.html Ming (MongoDB in TurboGears basis): ming.readthedocs.org TurboGears micro-framework mode: blog.axant.it/archives/545 A WebAssets filter that compiles ES6 to ES5 using DukPy and BabelJS: gist.github.com/amol-/25bd86dfc630bf43aab2 Recent Python WebSIG thread on evolving WSGI for HTTP2 and asyncio: mail.python.org/pipermail/web-sig/2014-October/005340.html Master-Slave DB support in TurboGears: turbogears.readthedocs.org/en/latest/cookbook/master-slave.html The project Alessandro mentioned during the episode that has been created in less than 1 hour starting as a single file and scaling up: previewstrap.axantlabs.com Sponsors Talk Python Training Codeship |
Nov 24, 2015 | ||||
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#34 Continuum: Scientific Python and The Business of Open Source
00:59:52
What if you built a product that dramatically improved how hundreds of free, open source Python libraries worked together, gave it to the world for free, and then built a thriving business on it? It's the open-source dream really, isn't it? In this episode, we talk with Travis Oliphant from Continuum who did exactly that!
Links from the show: Continuum: continuum.io Anaconda: continuum.io/why-anaconda Travis on twitter: @teoliphant Guide to NumPy: 2nd Edition Book: amzn.to/1Sz393R Bokeh: bokeh.pydata.org/en/latest Sponsors Talk Python Training Digital Ocean |
Nov 17, 2015 | ||||
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#33 OpenStack: Cloud computing built on Python
00:56:37
You've probably heard of Infrastructure-as-a-services (IaaS) cloud providers such as Amazon's AWS, with EC2 in particular, and to a lesser degree Microsoft's Azure cloud platform. But have you hear of OpenStack? It is an incredibly powerful IaaS platform which you can buy as a service or install in your own data center to build your own private cloud (yeah, private clouds, that's a thing). Flavio Percoco, who works at Red Hat and spends his days writing Python code for OpenStack is here to tell us all about it!
Links from the show: OpenStack: openstack.org Starter Kit: governance.openstack.org/reference/tags/starter-kit_compute.html Flavio on Twitter: @flaper87 Sponsors Talk Python Training Codeship |
Nov 10, 2015 | ||||
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#32 PyPy.js - PyPy Python in Your Browser
00:59:12
Imagine a future where you are building that rich, client-side web app. You start by creating some backend services in Flask or Node, an HTML page, throw in a few divs and uls, and then you type <script src="main.py" language="Python">. That future might just be possible, for the right types of applications, with Ryan Kelly's pypy.js project.
Links from the show: PyPy.js: What? How? Why? - PyCon 2015: youtube.com/watch?v=PiBfOFqDIAI Are we Python yet?: arewepythonyet.com Are we slim yet?: areweslimyet.com Are we fast yet?: arewefastyet.com PyPy.js on GitHub: github.com/pypyjs/pypyjs Planning an early death for Python 2: carreau.github.io/posts/planning-an-early-death-for-python-2.html Toga package: pypi.python.org/pypi/toga Birth and death of JavaScript: destroyallsoftware.com/talks/the-birth-and-death-of-javascript Sponsors Talk Python Training Codeship |
Nov 03, 2015 | ||||
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#31 Machine Learning with Python and scikit-learn
00:49:19
Machine learning allows computers to find hidden insights without being explicitly programmed where to look or what to look for. Thanks to the work of some dedicated developers, Python has one of the best machine learning platforms called scikit-learn. In this episode, Alexandre Gramfort is here to tell us all about scikit-learn and machine learning.
Links from the show: scikit-learn: scikit-learn.org Alexandre's website: alexandre.gramfort.net Alexandre on Twitter: @agramfort Novel Machine Learning: forbes.com/sites/85broads/2014/01/06/six-novel-machine-learning-applications Kaggle competitions: kaggle.com scikit-learn on github: github.com/scikit-learn/scikit-learn scikit-learn datasets: scikit-learn.org/stable/datasets Sponsors Talk Python Training Codeship |
Oct 27, 2015 | ||||
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#30 Python Community and Python at Dropbox
00:46:53
What does it mean to be a leader in the Python community? Contributing to open source? Speaking at conferences? Starting the largest user group? Writing a book? Being a core contributor? The answer is yes. And that's why Jessica McKellar won the Frank Willison Award for Contributions to the Python Community. She is the guest on this episode of Talk Python To Me.
Links from the show: Jessica (Twitter): @jessicamckellar Jessica (Web): web.mit.edu/jesstess/ Choose your python adventure: youtube.com/watch?v=d1a4Jbjc-vU PSF: python.org/psf Sponsors Talk Python Training |
Oct 20, 2015 | ||||
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#29 Python at the Large Hadron Collider and CERN
00:52:10
The largest machine ever built is the Large Hadron Collider at CERN. It's primary goal was the discovery of the Higgs Boson: the fundamental particle which gives all objects mass. The LHC team of 1000's of physicists achieved that goal in 2012 winning the Nobel Prize in physics. Kyle Cranmer is here to share how Python was at the core of this amazing achievement!
You'll learn about the different experiment including ATLAS and CMS. We talk a bit about the physics involved in the discovery before digging into the software and computer technology used at CERN. The collisions generate a tremendous amount of data and the technology to filter, gather, and understand the data is super interesting. You'll also learn about Crayfis, the app that turns your phone into a cosmic ray detector. No joke. Kyle is taking citizen science to a whole new level. Links from the show: Kyle Cranmer (Twitter): @KyleCranmer Kyle Cranmer (Wikipedia): en.wikipedia.org/wiki/Kyle_Cranmer Kyle's Website: theoryandpractice.org The Standard Model of particle physics : en.wikipedia.org/wiki/Standard_Model Crayfis App: crayfis.io Processing Data at LHC (Video): youtube.com/watch?v=jDC3-QSiLB4 Present at the Creation (Book): amzn.to/1M6zEph Particle Fever (Movie): youtube.com/watch?v=Rikc7foqvRI Sponsors Talk Python Training Codeship |
Oct 13, 2015 | ||||
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#28 Making Python Fast: Profiling Python Code
00:50:09
Is that Python code of yours running a little slow? Are you thinking of rewriting the algorithm or maybe even in another language? Well, before you do, you'll want to listen to what Davis Silverman has to say about speeding up Python code using Profiling.
Links from the show: Davis on Twitter: @sinistersnare Profiling Article: blog.thehumangeo.com/2015/07/28/profiling-in-python HumanGeo on GitHub: github.com/humangeo HumanGeo Group: thehumangeo.com PyCharm Profiler: blog.jetbrains.com/pycharm/2015/05/pycharm-4-5-eap-build-141-988-introducing-python-profiler PyCallGraph: pycallgraph.readthedocs.org Sponsors Talk Python Training Codeship |
Oct 06, 2015 | ||||
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#27 Four Years of Python for High Schoolers
00:44:35
Often people complain about the lack of developer skills in western countries like the United States and that problem is amplified when you consider typically under represented groups such as women and minorities. This week you'll meet Laura Blankenship who is doing more than her share to widen the appeal of programming in general and Python in particular.
Laura Blankenship is the chair of the computer science department at The Baldwin School where they offer computer programming related courses from grade-school all the way through high school, including an intensive 4 year program in the last four years. And you guessed it, Python plays a key role in the curriculum. Links from the show: Comp Sci at Baldwin: baldwinschool.org/page.cfm?p=728 Baldwin School: baldwinschool.org Hour of code: code.org Calico IDE: calicoproject.org Print the legend (film): printthefilm.com Laura on Twitter: twitter.com/lblanken TouchDevelop: touchdevelop.com Tweepy on GitHub: github.com/tweepy/tweepy Sponsors Talk Python Training Codeship |
Sep 29, 2015 | ||||
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#26 Deploying Python Web Applications (Updated)
01:13:04
So, you've build an amazing Python web app and now what? You want to put it online of course but that's a whole different skill set. You're in luck, because Matthew Makai is here to tell us all about deploy Python applications on this episode of Talk Python To Me.
In this show, we'll be discussing Matt's book The Full Stack Python Guide to Deployments, how Twilio manages their deployments, and what to consider when graduating from basic deployments to large-scale professional environments. Links from the show: Fullstack Python: fullstackpython.com Book website: deploypython.com talk-python-to-me is the coupon code for 15% off the book Video: Choose Your Own Django Deployment Adventure: youtube.com/watch?v=QrFEKghISEI @fullstackpython: twitter.com/fullstackpython Github: github.com/makaimc/fsp-deployment-guide Twilio: twilio.com/ Hired (Sponsor): hired.com Opbeat (Sponsor): opbeat.com Digital Ocean (Sponsor): digitalocean.com Sponsors Talk Python Training |
Sep 22, 2015 | ||||
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#25 Effective Python
00:54:40
What if you could bottle up all the wisdom and hard-fought experience of many expert Python developers and power up your own skills? That's what Brett Slatkin did and he put it in his book Effective Python.
Brett has had a unique opportunity to learn the correct and efficient ways to write Python. He has worked at Google on Google App Engine (GAE) alongside greats such as Guido van Rossum and Alex Martelli. Join the conversation where we discuss some of that wisdom when we talk about Brett's book "Effective Python". Links from the show: Book website: effectivepython.com Book discount code: informit.com/EFFPY Checkout for a 35% discount off the book. Effective Python on Amazon: amzn.to/1ETVjdk Twitter: @haxor Brett's website: onebigfluke.com Sponsors Talk Python Training Codeship |
Sep 15, 2015 | ||||
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#24 Fluent Python
01:08:20
Are you fluent in Python or do you speak the language with an accent? Maybe you have a hint of C++ in your for-in loop or even a little C# coming through in your function names. Python's ease of learning can also lead to non-pythonic patterns for even experienced developers. It's so easy to jump in and (superficially) learn the language that you might miss the deeper understanding and Pythonic thinking.
Luciano Ramalho is here to help us clear up that accent that has been giving us away to our peers and he is giving everyone a deeper understanding of this language we love with his just released book "Fluent Python". Links from the show: Fluent Python at O'Reilly: shop.oreilly.com/product/0636920032519.do Luciano on Twitter: @ramalhoorg Book on Twitter: @FluentPython Fluent Python on Amazon: amzn.to/1EhZeG4 Luciano's encapsulation with descriptors: youtube.com/watch?v=L-q0cQ7Gyws Sponsors Talk Python Training Codeship |
Sep 08, 2015 | ||||
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#23 3D Printing with Python at Authentise
00:46:85
You've heard of the full-stack developer and full-stack Python, but this week Authentise is taking it to a new level with Python all the way from the cloud to the client to the printer. It's all about 3D printing with Python on episode 23 with Eli Ribble. You'll learn how Eli and his team are using Python to allow independent makers to sell their designs while retaining control over the IP and copyrights. Plus, you'll learn about the most common and the craziest thing that Eli has seen printed lately.
Links from the show: Authentise: authentise.com Rumps: github.com/jaredks/rumps XKCD: import antigravity: xkcd.com/353 Twitter: @EliRibble Authentise at GitHub: github.com/Authentise isort: pypi.python.org/pypi/isort Autodesk partnership: 3dprint.com/22063/investment-fund-autodesk Sponsors Talk Python Training Codeship |
Sep 01, 2015 | ||||
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#22 CPython Internals and Learning Python with pythontutor.com
01:02:35
It's time to look deep within the machine and understand what *really* happens when your Python code executes. We're code-walking through the CPython code and visualizing it at pythontutor.com.
In this is episode, we talk with Philip Guo about the internals of the CPython interpreter as well as his project to develop a deeper understanding of how Python code executes at pythontutor.com. You'll learn how everything in CPython is an object, even though it's written in C and C doesn't support pure OO programming! Links from the show: CPython internals: A ten-hour codewalk: pgbovine.net/cpython-internals.htm Python Tutor: pythontutor.com Codewalk on YouTube: bit.ly/cpythonwalk Philip on Twitter: @pgbovine CSC 253: courses.pgbovine.net/csc253 byteplay library: wiki.python.org/moin/ByteplayDoc Sponsors Talk Python Training Codeship |
Aug 25, 2015 | ||||
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#21 PyPy - The JIT Compiled Python Implementation
00:53:57
Is your Python code running a little slow? Did you know that the PyPy runtime could make it run up to 10x faster? Seriously! Maciej Fijalkowski is here to tell us all about it. This episode is all about the alternative, JIT compiled, garbage collection Python implementation PyPy.
Links from the show: @fijall: twitter.com/fijall PyPy: pypy.org Baroque Software: baroquesoftware.com PyPy Speed Charts: speed.pypy.org Python Test Podcast: pythontesting.net/category/podcast GitHub: Cache-tier: github.com/mikeckennedy/cache-tier Blog: Intro to Cache Tier: blog.michaelckennedy.net/2015/08/14/announcing-cache-tier-python-file-server-on-github Sponsors Talk Python Training Codeship |
Aug 18, 2015 | ||||
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#20 Interactive Python and Teaching Python: Beyond Text Books
00:48:46
What if your computer science textbooks could run their python code samples and that code ran directly in your browser, kinda like JavaScript but better, because: Python. It is possible and Brad Miller is making it happen!
This episode is all about Brad Miller's work at Runestone Interactive where they are building the next generation of interactive textbooks for computer science students and the rest of us. As a cool side-effect, Brad is now maintaining Skulpt, one of the leading implementations of Python that runs in your browser! Links from the show: Interactive Python: interactivepython.org Brad Miller: luther.edu/millbr02 Skulpt: skulpt.org Interactive books: interactivepython.org/runestone/static/thinkcspy/index.html Runestone at Github: github.com/RunestoneInteractive Runestone: runestoneinteractive.org PythonTutor (Topic of show #22): pythontutor.com Trinket.io: trinket.io Birth and death of JavaScript (video): destroyallsoftware.com/talks/the-birth-and-death-of-javascript Sponsors Talk Python Training Codeship |
Aug 11, 2015 | ||||
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#19 Automate the Boring Stuff with Python
00:41:05
Some of the things we do in life are tedious and boring. It's the kind of thing that machines or robots could do. So let's build those machines!
This week we talk Al Sweigart, the author of Automating the Boring Stuff. You'll learn how he hopes to engage and teach Python to a unique and broad segment of the population. We'll discuss why, at first, it might make more sense to keep things simple rather than insisting on the "right" patterns and best practices. Links from the show: Book: Automate the boring stuff: automatetheboringstuff.com Invent with Python: inventwithpython.com Al at Github: github.com/asweigart @alsweigart: twitter.com/alsweigart Al's books at Amazon.com: * Making Games with Python and PyGame * Hacking Secret Ciphers with Python * Invent Your Own Computer Games with Python * Automate the Boring Stuff with Python Sponsors Talk Python Training Codeship |
Aug 04, 2015 | ||||
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#18 Python Anti-patterns and other mistakes
00:48:16
Often the most important lessons we learn is what NOT to do. Show #18 is all about BAD Python code and Python Antipatterns with Andreas Dewes. Listen in to learn about the "Empty Intern Except Block" and other dubious coding decisions!
But it's not all bad news. Andreas and his crew at Quantified Code have built some amazing tools to visual and determine code quality and ferret out these anti-patterns. Are you brave enough to run them on your code? Links from the show: The Little Book of Python Anti-Patterns: docs.quantifiedcode.com/python-anti-patterns python-patterns (good patterns): github.com/faif/python-patterns Code Smells: c2.com/cgi/wiki?CodeSmell Refactoring to Patterns: amzn.to/1NfNwvi Working Effectively with Legacy Code: amzn.to/1T1xZ9n Clean Code: A Handbook of Agile Software Craftsmanship: amzn.to/1eYg2FN Agile Principles, Patterns, and Practices: amzn.to/1T1tlYP Code is beautiful!: quantifiedcode.github.io/code-is-beautiful/ Python code from Ex Machina: github.com/quantifiedcode/exmachina Ex Machina Trailer: youtube.com/watch?v=XYGzRB4Pnq8 Sponsors Codeship Talk Python Training |
Jul 28, 2015 | ||||
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#17 Python on bare metal with MicroPython
00:51:18
How many layers of abstraction and indirection are between your python code and machine instructions? What if that number could be 1 and Python itself was the operating system? That would be so amazing, right?
In fact, it is amazing and it's called Micropython. Join Michael and Damien as they discuss the genesis, philosophy, internals, and more about MicroPython; Damien's Python on a chip implementation. Links from the show: micropython: micropython.org micropython at GitHub: github.com/micropython PyStone benchmark: stackoverflow.com/questions/2091508/how-should-you-interpret-the-pystone-value-across-machines micropython feature video: youtube.com/watch?v=5LbgyDmRu9s WiPy: kickstarter.com/projects/wipy/the-wipy-the-internet-of-things-taken-to-the-next/description micropython at pycon: youtube.com/watch?v=MZ_KOS2BSEo Sponsors Codeship Talk Python Training |
Jul 21, 2015 | ||||
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#16 Python at Netflix
00:56:46
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