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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
Aug 10, 2020 • 1h 12min
#277: 10 tips every Django developer should know
See the full show notes for this episode on the website at talkpython.fm/277
Aug 6, 2020 • 1h 14min
#276: Geekout: Life in the solar system and beyond
See the full show notes for this episode on the website at talkpython.fm/276
Aug 1, 2020 • 55min
#275: Beautiful Pythonic Refactorings
See the full show notes for this episode on the website at talkpython.fm/275
Jul 24, 2020 • 58min
#274: Profiling data science code with FIL
See the full show notes for this episode on the website at talkpython.fm/274
Jul 18, 2020 • 55min
#273: CoCalc: A fully colloborative notebook development environment
See the full show notes for this episode on the website at talkpython.fm/273
Jul 12, 2020 • 52min
#272: No IoT things in hand? Simulate them with Device Simulator Express
See the full show notes for this episode on the website at talkpython.fm/272
Jul 4, 2020 • 1h 5min
#271: Unlock the mysteries of time, Python's datetime that is!
See the full show notes for this episode on the website at talkpython.fm/271
Jun 25, 2020 • 59min
#270: Python in supply chains: oil rigs, rockets, and lettuce
See the full show notes for this episode on the website at talkpython.fm/270
Jun 19, 2020 • 56min
#269: HoloViz - a suite of tools for Python visualization
See the full show notes for this episode on the website at talkpython.fm/269
Jun 13, 2020 • 54min
#268: Analyzing dozens of notebook environments
See the full show notes for this episode on the website at talkpython.fm/268
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode