Michael Kennedy
Talk Python To Me
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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Autor
Michael Kennedy
Kategoria
Strona podcastu
Ostatni odcinek
10 lip 2026
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Odcinki
#404: Clean Code in Python 20.02.2023 1:04:42
See the full show notes for this episode on the website at talkpython.fm/404
#403: Fusion Ignition Breakthrough and Python 13.02.2023 1:04:42
See the full show notes for this episode on the website at talkpython.fm/403
#402: Polars: A Lightning-fast DataFrame for Python [updated audio] 08.02.2023 58:48
See the full show notes for this episode on the website at talkpython.fm/402
#401: Migrating 3.8 Million Lines of Python 02.02.2023 1:00:57
See the full show notes for this episode on the website at talkpython.fm/401
#400: Ruff - The Fast, Rust-based Python Linter 25.01.2023 1:03:45
See the full show notes for this episode on the website at talkpython.fm/400
#399: Monorepos in Python 18.01.2023 1:10:31
See the full show notes for this episode on the website at talkpython.fm/399
#398: Imaging Black Holes with Python 14.01.2023 58:13
See the full show notes for this episode on the website at talkpython.fm/398
#397: Evaluating New Open Source Tech Panel 05.01.2023 1:03:25
See the full show notes for this episode on the website at talkpython.fm/397
#396: AI Goes on Trial For Writing Code (crossover) 30.12.2022 37:32
See the full show notes for this episode on the website at talkpython.fm/396
#395: Tools for README.md Creation and Maintenance 22.12.2022 1:13:31
See the full show notes for this episode on the website at talkpython.fm/395
#394: Awesome Jupyter Libraries and Extensions in 2022 15.12.2022 1:02:22
See the full show notes for this episode on the website at talkpython.fm/394
#393: Space Science with Python 08.12.2022 1:03:29
See the full show notes for this episode on the website at talkpython.fm/393
#392: Data Science from the Command Line 02.12.2022 1:11:04
See the full show notes for this episode on the website at talkpython.fm/392
#391: Pyscript powered by MicroPython 29.11.2022 1:11:04
See the full show notes for this episode on the website at talkpython.fm/391
#390: Mastodon for Python Devs 15.11.2022 1:08:41
See the full show notes for this episode on the website at talkpython.fm/390
#389: 18 awesome asyncio packages in Python 09.11.2022 57:28
See the full show notes for this episode on the website at talkpython.fm/389
#388: Python 3.11 is here and it's fast 02.11.2022 1:06:29
See the full show notes for this episode on the website at talkpython.fm/388
#387: Build All the Things with Pants Build System 27.10.2022 1:07:50
See the full show notes for this episode on the website at talkpython.fm/387
#386: Realtime Web Apps and Dashboards with H2O Wave 19.10.2022 1:05:37
See the full show notes for this episode on the website at talkpython.fm/386
#385: Higher level Python asyncio with AnyIO 15.10.2022 59:55
See the full show notes for this episode on the website at talkpython.fm/385
#384: Python Data Visualization - Where To Start? 04.10.2022 1:13:16
See the full show notes for this episode on the website at talkpython.fm/384
#383: Textinator and Building macOS Apps with Python 28.09.2022 1:06:08
See the full show notes for this episode on the website at talkpython.fm/383
#382: Apache Superset: Modern Data Exploration Platform 22.09.2022 1:08:16
See the full show notes for this episode on the website at talkpython.fm/382
#381: Python Perf: Specializing, Adaptive Interpreter 16.09.2022 1:08:53
See the full show notes for this episode on the website at talkpython.fm/381
#380: 7 lessons from building a modern TUI framework 05.09.2022 1:07:49
See the full show notes for this episode on the website at talkpython.fm/380
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