Talk Python To Me

En podcast av Michael Kennedy

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493 Avsnitt

  1. #372: Applied mathematics with Python

    Publicerades: 2022-07-08
  2. #371: pipx - Installable, Isolated Python Applications

    Publicerades: 2022-06-30
  3. #370: OpenBB: Python's Open-source Investment Platform

    Publicerades: 2022-06-22
  4. #369: Getting Lazy with Python Imports and PEP 690

    Publicerades: 2022-06-16
  5. #368: End-to-End Web Testing with Playwright

    Publicerades: 2022-06-03
  6. #367: Say Hello to PyScript (WebAssembly Python)

    Publicerades: 2022-05-25
  7. #366: Optimizing PostgreSQL DB Queries with pgMustard

    Publicerades: 2022-05-20
  8. #365: Solving Negative Engineering Problems with Prefect

    Publicerades: 2022-05-12
  9. #364: Symbolic Math with Python using SymPy

    Publicerades: 2022-05-07
  10. #363: Python for .NET and C# developers

    Publicerades: 2022-04-28
  11. #362: Hypermodern Python Projects

    Publicerades: 2022-04-20
  12. #361: Pangeo Data Ecosystem

    Publicerades: 2022-04-16
  13. #360: Removing Python's Dead Batteries (in just 5 years)

    Publicerades: 2022-04-08
  14. #359: Lifecycle of a machine learning project

    Publicerades: 2022-04-03
  15. #358: Understanding Pandas visually with PandasTutor

    Publicerades: 2022-03-25
  16. #357: Python and the James Webb Space Telescope

    Publicerades: 2022-03-21
  17. #356: Tips for ML / AI startups

    Publicerades: 2022-03-14
  18. #355: EdgeDB - Building a database in Python

    Publicerades: 2022-03-06
  19. #354: Sphinx, MyST, and Python Docs in 2022

    Publicerades: 2022-02-24
  20. #353: SQLModel: The New ORM for FastAPI and Beyond

    Publicerades: 2022-02-18

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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