Talk Python To Me

En podcast av Michael Kennedy

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493 Avsnitt

  1. #472: State of Flask and Pallets in 2024

    Publicerades: 2024-07-26
  2. #471: Learning and teaching Pandas

    Publicerades: 2024-07-22
  3. #470: Python in Medicine and Patient Care

    Publicerades: 2024-07-12
  4. #469: PuePy: Reactive frontend framework in Python

    Publicerades: 2024-07-08
  5. #468: Python Trends Episode 2024

    Publicerades: 2024-07-01
  6. #467: Data Science Panel at PyCon 2024

    Publicerades: 2024-06-20
  7. #466: Pydantic Performance Tips

    Publicerades: 2024-06-14
  8. #465: The AI Revolution Won't Be Monopolized

    Publicerades: 2024-06-08
  9. #464: Seeing code flows and generating tests with Kolo

    Publicerades: 2024-05-29
  10. #463: Running on Rust: Granian Web Server

    Publicerades: 2024-05-25
  11. #462: Pandas and Beyond with Wes McKinney

    Publicerades: 2024-05-15
  12. #461: Python in Neuroscience and Academic Labs

    Publicerades: 2024-05-09
  13. #460: Dropbase: Build Internal Tools with Python

    Publicerades: 2024-05-02
  14. #459: I Built A Python SaaS with AI

    Publicerades: 2024-04-27
  15. #458: Serverless Python in 2024

    Publicerades: 2024-04-24
  16. #457: Software Supply Chain Security with Phylum

    Publicerades: 2024-04-19
  17. #456: Building GPT Actions with FastAPI and Pydantic

    Publicerades: 2024-04-16
  18. #455: Land Your First Data Job

    Publicerades: 2024-04-04
  19. #454: Data Pipelines with Dagster

    Publicerades: 2024-03-21
  20. #453: uv - The Next Evolution in Python Packages?

    Publicerades: 2024-03-13

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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.

Visit the podcast's native language site