Talk Python To Me

En podkast av Michael Kennedy (@mkennedy)

Kategorier:

479 Episoder

  1. #438: Celebrating JupyterLab 4 and Jupyter 7 Releases

    Publisert: 16.11.2023
  2. #437: HTMX for Django Developers (And All of Us)

    Publisert: 7.11.2023
  3. #436: An Unbiased Evaluation of Environment and Packaging Tools

    Publisert: 1.11.2023
  4. #435: PyPI Security

    Publisert: 25.10.2023
  5. #434: Building Mobile Apps Backed with Python

    Publisert: 19.10.2023
  6. #433: Litestar: Effortlessly Build Performant APIs

    Publisert: 15.10.2023
  7. #432: Migrating to Pydantic 2.0: Beanie for MongoDB

    Publisert: 6.10.2023
  8. #431: Visualizing CPython Release Process

    Publisert: 29.9.2023
  9. #430: Delightful Machine Learning Apps with Gradio

    Publisert: 19.9.2023
  10. #429: Taming Flaky Tests

    Publisert: 11.9.2023
  11. #428: Django Trends in 2023

    Publisert: 29.8.2023
  12. #427: 10 Tips and Ideas for the Beginner to Expert Python Journey

    Publisert: 19.8.2023
  13. #426: What's New in PyScript [August 2023]

    Publisert: 9.8.2023
  14. #425: Memray: The endgame Python memory profiler

    Publisert: 4.8.2023
  15. #424: Shiny for Python

    Publisert: 27.7.2023
  16. #423: Solving 10 different simulation problems with Python

    Publisert: 24.7.2023
  17. #422: How data scientists use Python

    Publisert: 7.7.2023
  18. #421: Python at Netflix

    Publisert: 2.7.2023
  19. #420: Database Consistency & Isolation for Python Devs

    Publisert: 26.6.2023
  20. #419: Debugging Python in Production with PyStack

    Publisert: 14.6.2023

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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