512 Odcinki

  1. #351: Machine Learning Ethics and Laws Panel

    Opublikowany: 3.02.2022
  2. #350: Python Steering Council 2021 Retrospective

    Opublikowany: 26.01.2022
  3. #349: Meet Beanie: A MongoDB ODM + Pydantic

    Opublikowany: 22.01.2022
  4. #348: Dear PyGui: Simple yet Fast Python GUI Apps

    Opublikowany: 17.01.2022
  5. #347: Cinder - Specialized Python that Flies

    Opublikowany: 8.01.2022
  6. #346: 20 Recommended Packages in Review

    Opublikowany: 21.12.2021
  7. #345: 10 Tips and Tools for Developer Productivity

    Opublikowany: 15.12.2021
  8. #344: SQLAlchemy 2.0

    Opublikowany: 9.12.2021
  9. #343: Do Excel things, get notebook Python code with Mito

    Opublikowany: 30.11.2021
  10. #342: Python in Architecture (as in actual buildings)

    Opublikowany: 23.11.2021
  11. #341: 25 Pandas Functions You Didn’t Know Existed

    Opublikowany: 17.11.2021
  12. #340: Time to JIT your Python with Pyjion?

    Opublikowany: 10.11.2021
  13. #339: Making Python Faster with Guido and Mark

    Opublikowany: 4.11.2021
  14. #338: Using cibuildwheel to manage the scikit-HEP packages

    Opublikowany: 17.10.2021
  15. #337: Kedro for Maintainable Data Science

    Opublikowany: 9.10.2021
  16. #336: Terminal magic with Rich and Textual

    Opublikowany: 5.10.2021
  17. #335: Gene Editing with Python

    Opublikowany: 24.09.2021
  18. #334: Microsoft Planetary Computer

    Opublikowany: 18.09.2021
  19. #333: State of Data Science in 2021

    Opublikowany: 10.09.2021
  20. #332: Robust Python

    Opublikowany: 31.08.2021

9 / 26

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