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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#321: HTMX - Clean, Dynamic HTML Pages
See the full show notes for this episode on the website at talkpython.fm/321.
#320: Python in the Electrical Energy Sector
See the full show notes for this episode on the website at talkpython.fm/320.
#319: Typosquatting and Supply Chains Vulnerabilities
See the full show notes for this episode on the website at talkpython.fm/319.
#318: Measuring your ML impact with CodeCarbon
See the full show notes for this episode on the website at talkpython.fm/318.
#317: Python at the US Federal Election Commission
See the full show notes for this episode on the website at talkpython.fm/317.
#316: Flask 2.0
See the full show notes for this episode on the website at talkpython.fm/316.
#315: Awesome FastAPI extensions and add ons
See the full show notes for this episode on the website at talkpython.fm/315.
#314: Ask us about modern Python projects and tools
See the full show notes for this episode on the website at talkpython.fm/314.
#313: Automate your data exchange with PyDantic
See the full show notes for this episode on the website at talkpython.fm/313.
#312: Python Apps that Scale to Billions of Users
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#311: Get inside the .git folder
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#310: AMA (Ask Me Anything) with Michael
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#309: What ML Can Teach Us About Life: 7 Lessons
See the full show notes for this episode on the website at talkpython.fm/309.
#308: Docker for Python Developers (2021 Edition)
See the full show notes for this episode on the website at talkpython.fm/308.
#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.