Podurama logo

 Podurama

 

Home

 

Trending

 

Personal

 

Your Podcasts

 

New Episodes

 

Favourite Episodes

 

Tags (Folders)

 

Recently Played

 

Bookmarks

 

Followed Playlists

YOUR PLAYLISTS

 

Loading…

Talk Python To Me podcast

…

Talk Python To Me

…

·

  Michael Kennedy (@mkennedy)  

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.

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.

 

All

Progress

Duration

Release Date

#407

#408: Hatch: A Modern Python Workflow

In recent years, there has been a lot of experimenting how we work with dependencies and external libraries for our Python code. There is pip, pip-tools, Poetry, pdm, pyenv, pipenv, Hatch and others workflows. We dove into this deeply back on episode 406: Reimagining Python's Packaging Workflows. We're back with Ofek Lev to take a deeper look at Hatch. Links from the show Hatch: [hatch.pypa.io] (https://hatch.pypa.io/latest/) Ofek on Twitter: [@Ofekmeister] (https://twitter.com/Ofekmeister) Mamba: [github.com] (https://github.com/mamba-org/mamba) Hatch env management: [hatch.pypa.io] (https://hatch.pypa.io/latest/cli/reference/#hatch-env) Packaging a Python project tutorial: [packaging.python.org] (https://packaging.python.org/en/latest/tutorials/packaging-projects/) Customize project generation: [hatch.pypa.io] (https://hatch.pypa.io/latest/config/project-templates/) Textual: [textualize.io] (https://www.textualize.io) Ruff on Talk Python: [talkpython.fm] (https://talkpython.fm/episodes/show/400/ruff-the-fast-rust-based-python-linter) RustUp: [rustup.rs] (https://rustup.rs) Conda: [docs.conda.io] (https://docs.conda.io/en/latest/) import antigravity: [xkcd.com] (https://xkcd.com/353/) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=gcgMyRfE8a4) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/foundershub'>Microsoft Founders Hub 2023</a> <a href='https://talkpython.fm/sentry'>Sentry Error Monitoring, Code TALKPYTHON</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

Yesterday

1 HR 02 MINS

1:02:59

Yesterday

#406

#407: pytest tips and tricks for better testing

If you're like most people, the simplicity and easy of getting started is a big part of pytest's appeal. But beneath that simplicity, there is a lot of power and depth. We have Brian Okken on this episode to dive into his latest pytest tips and tricks for beginners and power users. Links from the show pytest tips and tricks article: [pythontest.com] (https://pythontest.com/pytest-tips-tricks/) Getting started with pytest Course: [training.talkpython.fm] (https://training.talkpython.fm/courses/getting-started-with-testing-in-python-using-pytest) pytest book: [pythontest.com] (https://pythontest.com/pytest-book/) Python Bytes podcast: [pythonbytes.fm] (https://pythonbytes.fm) Brian on Mastodon: [@brianokken@fosstodon.org] (https://fosstodon.org/@brianokken) Hypothesis: [readthedocs.io] (https://hypothesis.readthedocs.io/en/latest/) Hypothesis: Reproducability: [readthedocs.io] (https://hypothesis.readthedocs.io/en/latest/reproducing.html) Get More Done with the DRY Principle: [zapier.com] (https://zapier.com/blog/dont-repeat-yourself/) "The Key" Keyboard: [stackoverflow.blog] (https://stackoverflow.blog/2021/03/31/the-key-copy-paste/) pytest plugins: [docs.pytest.org] (https://docs.pytest.org/en/7.1.x/reference/plugin_list.html) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=qQ6b7OwT124) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/407/pytest-tips-and-tricks-for-better-testing) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/foundershub'>Microsoft Founders Hub 2023</a> <a href='https://talkpython.fm/brilliant'>Brilliant 2023</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

18 Mar 2023

56 MINS

56:22

18 Mar 2023

#405

#406: Reimagining Python's Packaging Workflows

The great power of Python is its over 400,000 packages on PyPI to serve as building blocks for your app. How do you get those needed packages on to your dev machine and managed within your project? What about production and QA servers? I don't even know where to start if you're shipping built software to non-dev end users. There are many variations on how this works today. And where we should go from here has become a hot topic of discussion. So today, that's the topic for Talk Python. I have a great panel of guests: Steve Dower, Pradyun Gedam, Ofek Lev, and Paul Moore. Links from the show Python Packaging Strategy Discussion - Part 1: [discuss.python.org] (https://discuss.python.org/t/python-packaging-strategy-discussion-part-1/22420) Thoughts on the Python packaging ecosystem: [pradyunsg.me] (https://pradyunsg.me/blog/2023/01/21/thoughts-on-python-packaging/) Python Packaging Authority: [pypa.io] (https://www.pypa.io/en/latest/) Hatch: [hatch.pypa.io] (https://hatch.pypa.io/latest/) Pyscript: [pyscript.net] (https://pyscript.net) Dark Matter Developers: The Unseen 99%: [hanselman.com] (https://www.hanselman.com/blog/dark-matter-developers-the-unseen-99) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=z50B6AmQwLw) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/406/reimagining-pythons-packaging-workflows) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/cox'>Cox Automotive</a> <a href='https://talkpython.fm/sentry'>Sentry Error Monitoring, Code TALKPYTHON</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

12 Mar 2023

1 HR 06 MINS

1:06:41

12 Mar 2023

#404

#405: Testing in Radio Astronomy with Python and pytest

So you know about dependencies and testing, right? If you're talking to a DB in your app, you have to decide how to approach that with your tests. There are lots of solid options you might pick and they vary by goals. Do you mock out the DB layer for isolation or do you use a test DB to make it as real as possible? Do you just punt and use the real DB for expediency? What if your dependency was a huge array of radio telescopes and a rack of hundreds of bespoke servers? That's the challenge on deck today were we discuss testing radio astronomy with pytest with our guest James Smith. He's a Digital Signal Processing engineer at the South African Radio Astronomy Observatory and has some great stories and tips to share. Links from the show GPU-based correlator for MeerKAT: [github.com] (https://github.com/ska-sa/katgpucbf) Meerkat: [sarao.ac.za] (https://www.sarao.ac.za/science/meerkat/) SARAO: [sarao.ac.za] (https://www.sarao.ac.za) Skarab server: [peralex.com] (http://www.peralex.com/wp-content/uploads/2017/11/skarab-product-shot.jpg) pycuda: [documen.tician.de] (https://documen.tician.de/pycuda/) Commercial Telescopes: [telescope.com] (https://www.telescope.com) PyLaTeX: [github.com] (https://github.com/JelteF/PyLaTeX) Linearity Test Code: [talkpython.fm] (https://talk-python-static.nyc3.digitaloceanspaces.com/405-pytest-astronomy-pytest-example.png) Correlator Context: [talkpython.fm] (https://talk-python-static.nyc3.digitaloceanspaces.com/405-pytest-astronomy-correlator-architecture.png) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=2_-YUBWtWbU) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/405/testing-in-radio-astronomy-with-python-and-pytest) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/taipy'>Taipy</a> <a href='https://talkpython.fm/sentry'>Sentry Error Monitoring, Code TALKPYTHON</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

03 Mar 2023

59 MINS

59:21

03 Mar 2023

#403

#404: Clean Code in Python

Clean code is one of those aspects of your programming career that's easy to put on the back burner (sometimes by management more than yourself). But it's important in the short term for writing more debuggable and readable code. And important in the long run for avoiding having your program take on the dreaded "legacy code" moniker. We're fortunate to have Bob Belderbos back on the show. He's been thinking and writing about clean code and Python a lot lately and we'll dive into a bunch of tips you can use right away to make your code cleaner. Links from the show Bob on Mastodon: [@bbelderbos@fosstodon.org] (https://fosstodon.org/@bbelderbos) PyBites: [pybit.es] (https://pybit.es) Tips for clean code in Python article: [pybit.es] (https://pybit.es/articles/tips-for-clean-code-in-python/) Refactoring book: [pybitesbooks.com] (https://pybitesbooks.com/books/2H1_DwAAQBAJ) Final type: [docs.python.org] (https://docs.python.org/release/3.11.0/library/typing.html#typing.Final) Sentinels pattern: [python-patterns.guide] (https://python-patterns.guide/python/sentinel-object/) Black formater: [pypi.org] (https://pypi.org/project/black/) Guarding clauses: [medium.com] (https://medium.com/lemon-code/guard-clauses-3bc0cd96a2d3) ChatGPT: [chat.openai.com] (https://chat.openai.com/chat) Git Precommit: [pre-commit.com] (https://pre-commit.com) #100DaysOfCode in Python course: [training.talkpython.fm] (https://training.talkpython.fm/courses/explore_100days_in_python/100-days-of-code-in-python) #100DaysOfWeb in Python course: [training.talkpython.fm] (https://training.talkpython.fm/courses/explore_100days_web/100-days-of-web-in-python) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=cBq5tE0FMIU) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/404/clean-code-in-python) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/taipy'>Taipy</a> <a href='https://talkpython.fm/brilliant'>Brilliant 2023</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

20 Feb 2023

1 HR 04 MINS

1:04:42

20 Feb 2023

#402

#403: Fusion Ignition Breakthrough and Python

Imagine a world with free and unlimited clean energy. That's the musings of a great science fiction story. But nuclear fusion (the kind that powers the sun) has always been close at hand, we see the sun every day, and yet impossibly far away as a technology. We took a major step towards this becoming a reality with the folks at the Lawrence Livermore National Labratory in the US achieved "ignition" where they got significantly more energy out than they put in. And Python played a major role in this research and experiment. We have Jay Salmonson here to give us a look at the science and the Python code of this discovery. Links from the show Jay on Mastodon: [hachyderm.io/@jdsalmonson] (https://hachyderm.io/@jdsalmonson) Jay on Twitter: [@JaySalmonson] (https://twitter.com/JaySalmonson) Official Announcement: [lasers.llnl.gov] (https://lasers.llnl.gov) QnD Package: [github.com] (https://github.com/LLNL/qnd) PlasmaPy: [plasmapy.org] (https://www.plasmapy.org) ML in Fusion: [llnl.gov] (https://www.llnl.gov/news/llnl-researchers-win-hpcwire-award-applying-cognitive-simulation-inertial-confinement-fusion) National Ignition Facility Achieves Ignition in Historic Nuclear Fusion Experiment: [newenergytimes.net] (https://news.newenergytimes.net/2021/08/29/update-national-ignition-facility-achieves-ignition-in-historic-nuclear-fusion-experiment/) Video demonstrating the fusion lab: [youtube.com] (https://www.youtube.com/watch?v=yixhyPN0r3g) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=qjIEmTg-eX4) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/403/fusion-ignition-breakthrough-and-python) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/taipy'>Taipy</a> <a href='https://talkpython.fm/userinterviews'>User Interviews</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

13 Feb 2023

1 HR 04 MINS

1:04:42

13 Feb 2023

#401

#402: Polars: A Lightning-fast DataFrame for Python [updated audio]

When you think about processing tabular data in Python, what library comes to mind? Pandas, I'd guess. But there are other libraries out there and Polars is one of the more exciting new ones. It's built in Rust, embraces parallelism, and can be 10-20x faster than Pandas out of the box. We have Polars' creator, Ritchie Vink here to give us a look at this exciting new data frame library. Links from the show Ritchie on Mastodon: [@ritchie46@fosstodon.org] (https://fosstodon.org/@ritchie46) Ritchie on Twitter: [@RitchieVink] (https://twitter.com/RitchieVink) Ritchie's website: [ritchievink.com] (https://www.ritchievink.com) Polars: [pola.rs] (https://www.pola.rs) Apache Arrow: [arrow.apache.org] (https://arrow.apache.org) Polars Benchmarks: [pola.rs] (https://www.pola.rs/benchmarks.html) Coming from Pandas Guide: [github.io] (https://pola-rs.github.io/polars-book/user-guide/coming_from_pandas.html) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=KdCcqWAsuRs) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/402/polars-a-lightning-fast-dataframe-for-python-updated-audio) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/taipy'>Taipy</a> <a href='https://talkpython.fm/userinterviews'>User Interviews</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

08 Feb 2023

58 MINS

58:48

08 Feb 2023

#400

#401: Migrating 3.8 Million Lines of Python

At some point, you've probably migrated an app from one framework or major runtime version to another. For example, Django to Flask, Python 2 to Python 3, or even Angular to Vue.js. This can be a big challenge. If you had 100s of active devs and millions of lines of code, it's a huge challenge. We have Ben Bariteau from Yelp here to recount their story moving 3.8M lines of code from Python 2 to Python 3. But this is not just a 2-to-3 story. It has many lessons on how to migrate code in many situations. There are plenty of gems to take from his experience. Links from the show Ben on Twitter: [@benbariteau] (https://mobile.twitter.com/benbariteau) Ben's Talk at PyCon 2022: [youtube.com] (https://www.youtube.com/watch?v=d6QAPcOX5OM) python-modernize: [github.com] (https://github.com/PyCQA/modernize) python-future: [github.com] (https://github.com/PythonCharmers/python-future) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=H0RjzsTC9QA) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/401/migrating-3.8-million-lines-of-python) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/cox'>Cox Automotive</a> <a href='https://talkpython.fm/userinterviews'>User Interviews</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

02 Feb 2023

1 HR 00 MINS

1:00:57

02 Feb 2023

#399

#400: Ruff - The Fast, Rust-based Python Linter

Our code quality tools (linters, test frameworks, and others) play an important role in keeping our code error free and conforming to the rules our teams have chosen. But when these tools become sluggish and slow down development, we often avoid running them or even turn them off. On this episode, we have Charlie Marsh here to introduce Ruff, a fast Python linter, written in Rust. To give you a sense of what he means with fast, common Python linters can take 30-60 seconds to lint the CPython codebase. Ruff takes 300 milliseconds. I ran it on the 20,000 lines of Python code for our courses web app at Talk Python Training, and it was instantaneous. It's the kind of tool that can change how you work. I hope you're excited to learn more about it. Links from the show Charlie on Twitter: [@charliermarsh] (https://twitter.com/charliermarsh) Charlie on Mastodon: [@charliermarsh@hachyderm] (https://hachyderm.io/@charliermarsh) Ruff: [github.com] (https://github.com/charliermarsh/ruff) PyCharm Developer Advocate Job: [jetbrains.com/careers] (https://talkpython.fm/pycharm-advocate-job) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=LCva0NOM2-o) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/400/ruff-the-fast-rust-based-python-linter) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/cox'>Cox Automotive</a> <a href='https://talkpython.fm/userinterviews'>User Interviews</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

25 Jan 2023

1 HR 03 MINS

1:03:45

25 Jan 2023

#398

#399: Monorepos in Python

Monorepos are contrary to how many of us have been taught to use source control. To start a project or app, the first thing we do is create a git repo for it. This leads to many focused and small repositories. A quick check of my GitHub account shows there are 179 non-fork repositories. That's a lot but I think many of us work that way. But it's not like this with monorepos. There you create one (or a couple) repositories for your entire company. This might have 100s or 1,000s of employees working on multiple projects within the single repo. Famously, Google, Meta, Microsoft, and Airbnb all employ very large monorepos with varying strategies of coordination. On this episode, we have David Vujic here to give us his perspective on monorepos as well as highlight an architectural pattern and set of tools for accomplishing this in Python. Links from the show David on Twitter: [@davidvujic] (https://twitter.com/davidvujic) David on Mastodon: [@davidvujic@mastodon.nu] (https://mastodon.nu/@davidvujic) Monorepo definition: [wikipedia.org] (https://en.wikipedia.org/wiki/Monorepo) git-sizer tool for large repos: [github.com] (https://github.com/github/git-sizer) git partial clones: [docs.gitlab.com] (https://docs.gitlab.com/ee/topics/git/partial_clone.html) git sparse checkout: [git-scm.com] (https://git-scm.com/docs/git-sparse-checkout) Polylith architecture: [polylith.gitbook.io] (https://polylith.gitbook.io/polylith/) Article: A simple & scalable Python project structure: [davidvujic.blogspot.com] (https://davidvujic.blogspot.com/2022/08/a-simple-scalable-python-project.html) The last Python Architecture you will ever need?: [davidvujic.blogspot.com] (https://davidvujic.blogspot.com/2022/11/the-last-python-architecture-you-will-ever-need.html) python-polylith plugin for poetry: [github.com] (https://github.com/DavidVujic/python-polylith#sparkles-python-tools-for-the-polylith-architecture-sparkles) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=1tISVkESesg) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/399/monorepos-in-python) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/foundershub'>Microsoft Founders Hub 2023</a> <a href='https://talkpython.fm/brilliant'>Brilliant 2023</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

18 Jan 2023

1 HR 10 MINS

1:10:31

18 Jan 2023

#397

#398: Imaging Black Holes with Python

The iconic and first ever image of a black hole was recently released. It took over a decade of work and is a major achievement for astronomy and broadens our understanding of the universe for all of us. Would it surprise you to know that Python played a major part in this discovery? Of course it did, and Dr. Sara Issaoun is here to give us the full story. Links from the show Sara's PyCon keynote: [youtube.com] (https://www.youtube.com/watch?v=x6SWPjdxvEI) Sara on Twitter: [@saraissaoun] (https://twitter.com/saraissaoun) Event Horizon Telescope: [eventhorizontelescope.org] (https://eventhorizontelescope.org/about) Black Hole Image Makes History; NASA Telescopes Coordinated Observations: [nasa.gov] (https://www.nasa.gov/mission_pages/chandra/news/black-hole-image-makes-history) Event Horizon Data: [eventhorizontelescope.org] (https://eventhorizontelescope.org/for-astronomers/data) Imaging, analysis, and simulation software for radio interferometry Package: [github.com] (https://github.com/achael/eht-imaging/) Initial data showing ring (matplotlib) (video at time): [youtube.com] (https://www.youtube.com/watch?v=x6SWPjdxvEI&t=1382s) Mars 2020 Helicopter GitHub Badge: [github.blog] (https://github.blog/changelog/2021-04-19-new-badge-for-developers-who-contributed-to-the-mars-2020-helicopter-mission/) Watch this episode on YouTube: [youtube.com] (https://www.youtube.com/watch?v=GNh-CRldaHM) Episode transcripts: [talkpython.fm] (https://talkpython.fm/episodes/transcript/398/imaging-black-holes-with-python) --- Stay in touch with us --- Subscribe to us on YouTube: [youtube.com] (https://talkpython.fm/youtube) Follow Talk Python on Mastodon: [talkpython] (https://fosstodon.org/web/@talkpython) Follow Michael on Mastodon: [mkennedy] (https://fosstodon.org/web/@mkennedy) Sponsors <a href='https://talkpython.fm/cox'>Cox Automotive</a> <a href='https://talkpython.fm/sentry'>Sentry Error Monitoring, Code TALKPYTHON</a> <a href='https://talkpython.fm/training'>Talk Python Training</a> ... Read more

14 Jan 2023

58 MINS

58:13

14 Jan 2023

#396

#397: Evaluating New Open Source Tech Panel

See the full show notes for this episode on the website at [talkpython.fm/397] (https://talkpython.fm/397) ... Read more

05 Jan 2023

1 HR 03 MINS

1:03:25

05 Jan 2023

#395

#396: AI Goes on Trial For Writing Code (crossover)

See the full show notes for this episode on the website at [talkpython.fm/396] (https://talkpython.fm/396) ... Read more

30 Dec 2022

37 MINS

37:32

30 Dec 2022

#394

#395: Tools for README.md Creation and Maintenance

See the full show notes for this episode on the website at [talkpython.fm/395] (https://talkpython.fm/395) ... Read more

22 Dec 2022

1 HR 13 MINS

1:13:31

22 Dec 2022

#393

#394: Awesome Jupyter Libraries and Extensions in 2022

See the full show notes for this episode on the website at [talkpython.fm/394] (https://talkpython.fm/394) ... Read more

15 Dec 2022

1 HR 02 MINS

1:02:22

15 Dec 2022

#392

#393: Space Science with Python

See the full show notes for this episode on the website at [talkpython.fm/393] (https://talkpython.fm/393) ... Read more

08 Dec 2022

1 HR 03 MINS

1:03:29

08 Dec 2022

#391

#392: Data Science from the Command Line

See the full show notes for this episode on the website at [talkpython.fm/392] (https://talkpython.fm/392) ... Read more

02 Dec 2022

1 HR 11 MINS

1:11:04

02 Dec 2022

#390

#391: Pyscript powered by MicroPython

See the full show notes for this episode on the website at [talkpython.fm/391] (https://talkpython.fm/391) ... Read more

29 Nov 2022

1 HR 11 MINS

1:11:04

29 Nov 2022

#389

#390: Mastodon for Python Devs

See the full show notes for this episode on the website at [talkpython.fm/390] (https://talkpython.fm/390) ... Read more

15 Nov 2022

1 HR 08 MINS

1:08:41

15 Nov 2022

#388

#389: 18 awesome asyncio packages in Python

See the full show notes for this episode on the website at [talkpython.fm/389] (https://talkpython.fm/389) ... Read more

09 Nov 2022

57 MINS

57:28

09 Nov 2022

#387

#388: Python 3.11 is here and it's fast

See the full show notes for this episode on the website at [talkpython.fm/388] (https://talkpython.fm/388) ... Read more

02 Nov 2022

1 HR 06 MINS

1:06:29

02 Nov 2022

#386

#387: Build All the Things with Pants Build System

See the full show notes for this episode on the website at [talkpython.fm/387] (https://talkpython.fm/387) ... Read more

27 Oct 2022

1 HR 07 MINS

1:07:50

27 Oct 2022

#385

#386: Realtime Web Apps and Dashboards with H2O Wave

See the full show notes for this episode on the website at [talkpython.fm/386] (https://talkpython.fm/386) ... Read more

19 Oct 2022

1 HR 05 MINS

1:05:37

19 Oct 2022

#384

#385: Higher level Python asyncio with AnyIO

See the full show notes for this episode on the website at [talkpython.fm/385] (https://talkpython.fm/385) ... Read more

15 Oct 2022

59 MINS

59:55

15 Oct 2022

#383

#384: Python Data Visualization - Where To Start?

See the full show notes for this episode on the website at [talkpython.fm/384] (https://talkpython.fm/384) ... Read more

04 Oct 2022

1 HR 13 MINS

1:13:16

04 Oct 2022

#382

#383: Textinator and Building macOS Apps with Python

See the full show notes for this episode on the website at [talkpython.fm/383] (https://talkpython.fm/383) ... Read more

28 Sep 2022

1 HR 06 MINS

1:06:08

28 Sep 2022

#381

#382: Apache Superset: Modern Data Exploration Platform

See the full show notes for this episode on the website at [talkpython.fm/382] (https://talkpython.fm/382) ... Read more

22 Sep 2022

1 HR 08 MINS

1:08:16

22 Sep 2022