Talk Python To Me

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. Source
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    100K-500K monthly listeners
  • Reviews
    4.9 (483 ratings)
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Recent episodes

  • Jun 11, 2026 — If you've ever been to PyCon, you know one of the best parts of the expo hall is Startup Row, a stretch of booths where early-stage companies built on Python show off what they're creating. But only attendees get to walk that lane, so let's bring it to...

    #551: Stroll Down Startup Lane - 2026
  • May 30, 2026 — You wake up, brew the coffee, open GitHub, and there it is. Another pull request on your open source project. Thirteen thousand lines added. No issue filed first. No discussion. Just "here, please review this for me." Over the past year, GitHub...

    #550: AI Contributions and Maintainer Load in Open Source
  • May 25, 2026 — Your documentation has two audiences now - humans reading the rendered HTML, and AI agents trying to make sense of your library. Rich Iannone and Michael Chow from Posit are back on Talk Python with a brand new Python documentation tool called Great...

    #549: Great Docs
  • May 11, 2026 — What if your database worked more like Git? Every change captured as an immutable event you can replay, instead of a single mutating row that quietly forgets its own history. That's event sourcing, and Chris May is back on Talk Python, fresh off our...

    #548: Event Sourcing Design Pattern
  • May 06, 2026 — When OpenAI trained GPT-3, they didn't roll their own orchestration layer. They used Ray, an open source Python framework born out of the same Berkeley research lab lineage that gave us Apache Spark. And here's the twist: Ray was originally built for...

    #547: Parallel Python at Any Scale with Ray

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Get contact information for Talk Python To Me and Talk Python To Me journalists by joining Muck Rack.
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Website
https://talkpython.fm