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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.
Latest episodes
Mar 11, 2021 • 1h 12min
#307: Python from 1994 to 2021, my how you've grown!
See the full show notes for this episode on the website at talkpython.fm/307
Mar 5, 2021 • 1h 6min
#306: Scaling Python and Jupyter with ZeroMQ
See the full show notes for this episode on the website at talkpython.fm/306
Mar 1, 2021 • 1h 2min
#305: Python community at Python Discord
See the full show notes for this episode on the website at talkpython.fm/305
Feb 21, 2021 • 1h 1min
#304: asyncio all the things with Omnilib
See the full show notes for this episode on the website at talkpython.fm/304
Feb 12, 2021 • 1h 4min
#303: Python for Astronomy with Dr. Becky
See the full show notes for this episode on the website at talkpython.fm/303
Feb 4, 2021 • 1h 5min
#302: The Data Engineering Landscape in 2021
See the full show notes for this episode on the website at talkpython.fm/302
Jan 28, 2021 • 1h 9min
#301: Deploying and running Django web apps in 2021
See the full show notes for this episode on the website at talkpython.fm/301
Jan 22, 2021 • 1h 6min
#300: Building a data science startup (panel)
See the full show notes for this episode on the website at talkpython.fm/300
Jan 17, 2021 • 1h 2min
#299: Personal search engine with datasette and dogsheep
See the full show notes for this episode on the website at talkpython.fm/299
Jan 11, 2021 • 56min
#298: Building ML teams and finding ML jobs
See the full show notes for this episode on the website at talkpython.fm/298
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode