Talk Python To Me

Un pódcast de Michael Kennedy

Categorías:

486 Episodo

  1. #365: Solving Negative Engineering Problems with Prefect

    Publicado: 12/5/2022
  2. #364: Symbolic Math with Python using SymPy

    Publicado: 7/5/2022
  3. #363: Python for .NET and C# developers

    Publicado: 28/4/2022
  4. #362: Hypermodern Python Projects

    Publicado: 20/4/2022
  5. #361: Pangeo Data Ecosystem

    Publicado: 16/4/2022
  6. #360: Removing Python's Dead Batteries (in just 5 years)

    Publicado: 8/4/2022
  7. #359: Lifecycle of a machine learning project

    Publicado: 3/4/2022
  8. #358: Understanding Pandas visually with PandasTutor

    Publicado: 25/3/2022
  9. #357: Python and the James Webb Space Telescope

    Publicado: 21/3/2022
  10. #356: Tips for ML / AI startups

    Publicado: 14/3/2022
  11. #355: EdgeDB - Building a database in Python

    Publicado: 6/3/2022
  12. #354: Sphinx, MyST, and Python Docs in 2022

    Publicado: 24/2/2022
  13. #353: SQLModel: The New ORM for FastAPI and Beyond

    Publicado: 18/2/2022
  14. #352: Running Python in Production

    Publicado: 8/2/2022
  15. #351: Machine Learning Ethics and Laws Panel

    Publicado: 3/2/2022
  16. #350: Python Steering Council 2021 Retrospective

    Publicado: 26/1/2022
  17. #349: Meet Beanie: A MongoDB ODM + Pydantic

    Publicado: 22/1/2022
  18. #348: Dear PyGui: Simple yet Fast Python GUI Apps

    Publicado: 17/1/2022
  19. #347: Cinder - Specialized Python that Flies

    Publicado: 8/1/2022
  20. #346: 20 Recommended Packages in Review

    Publicado: 21/12/2021

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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