Talk Python To Me

Un podcast de Michael Kennedy (@mkennedy)

Catégories:

479 Épisodes

  1. #358: Understanding Pandas visually with PandasTutor

    Publié: 25/03/2022
  2. #357: Python and the James Webb Space Telescope

    Publié: 21/03/2022
  3. #356: Tips for ML / AI startups

    Publié: 14/03/2022
  4. #355: EdgeDB - Building a database in Python

    Publié: 06/03/2022
  5. #354: Sphinx, MyST, and Python Docs in 2022

    Publié: 24/02/2022
  6. #353: SQLModel: The New ORM for FastAPI and Beyond

    Publié: 18/02/2022
  7. #352: Running Python in Production

    Publié: 08/02/2022
  8. #351: Machine Learning Ethics and Laws Panel

    Publié: 03/02/2022
  9. #350: Python Steering Council 2021 Retrospective

    Publié: 26/01/2022
  10. #349: Meet Beanie: A MongoDB ODM + Pydantic

    Publié: 22/01/2022
  11. #348: Dear PyGui: Simple yet Fast Python GUI Apps

    Publié: 17/01/2022
  12. #347: Cinder - Specialized Python that Flies

    Publié: 08/01/2022
  13. #346: 20 Recommended Packages in Review

    Publié: 21/12/2021
  14. #345: 10 Tips and Tools for Developer Productivity

    Publié: 15/12/2021
  15. #344: SQLAlchemy 2.0

    Publié: 09/12/2021
  16. #343: Do Excel things, get notebook Python code with Mito

    Publié: 30/11/2021
  17. #342: Python in Architecture (as in actual buildings)

    Publié: 23/11/2021
  18. #341: 25 Pandas Functions You Didn’t Know Existed

    Publié: 17/11/2021
  19. #340: Time to JIT your Python with Pyjion?

    Publié: 10/11/2021
  20. #339: Making Python Faster with Guido and Mark

    Publié: 04/11/2021

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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