Talk Python To Me

Un pódcast de Michael Kennedy (@mkennedy)

Categorías:

456 Episodo

  1. #455: Land Your First Data Job

    Publicado: 4/4/2024
  2. #454: Data Pipelines with Dagster

    Publicado: 21/3/2024
  3. #453: uv - The Next Evolution in Python Packages?

    Publicado: 13/3/2024
  4. #452: Top Quart (async Flask) Extensions

    Publicado: 10/3/2024
  5. #451: Djangonauts, Ready for Blast-Off

    Publicado: 1/3/2024
  6. #450: Versioning Web APIs in Python

    Publicado: 22/2/2024
  7. #449: Building UIs in Python with FastUI

    Publicado: 13/2/2024
  8. #448: Full-Time Open Source Devs Panel

    Publicado: 8/2/2024
  9. #447: Parallel Python Apps with Sub Interpreters

    Publicado: 3/2/2024
  10. #446: Python in Excel

    Publicado: 26/1/2024
  11. #445: Inside Azure Data Centers with Mark Russinovich

    Publicado: 19/1/2024
  12. #444: The Young Coder's Blueprint to Success

    Publicado: 2/1/2024
  13. #443: Python Bytes Crossover 2023

    Publicado: 29/12/2023
  14. #442: Ultra High Speed Message Parsing with msgspec

    Publicado: 14/12/2023
  15. #441: Python = Syntactic Sugar?

    Publicado: 6/12/2023
  16. #440: Talking to Notebooks with Jupyter AI

    Publicado: 30/11/2023
  17. #439: Pixi, A Fast Package Manager

    Publicado: 22/11/2023
  18. #438: Celebrating JupyterLab 4 and Jupyter 7 Releases

    Publicado: 16/11/2023
  19. #437: HTMX for Django Developers (And All of Us)

    Publicado: 7/11/2023
  20. #436: An Unbiased Evaluation of Environment and Packaging Tools

    Publicado: 1/11/2023

1 / 23

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