Talk Python To Me

Un pódcast de Michael Kennedy

Categorías:

486 Episodo

  1. #405: Testing in Radio Astronomy with Python and pytest

    Publicado: 3/3/2023
  2. #404: Clean Code in Python

    Publicado: 20/2/2023
  3. #403: Fusion Ignition Breakthrough and Python

    Publicado: 13/2/2023
  4. #402: Polars: A Lightning-fast DataFrame for Python [updated audio]

    Publicado: 8/2/2023
  5. #401: Migrating 3.8 Million Lines of Python

    Publicado: 2/2/2023
  6. #400: Ruff - The Fast, Rust-based Python Linter

    Publicado: 25/1/2023
  7. #399: Monorepos in Python

    Publicado: 18/1/2023
  8. #398: Imaging Black Holes with Python

    Publicado: 14/1/2023
  9. #397: Evaluating New Open Source Tech Panel

    Publicado: 5/1/2023
  10. #396: AI Goes on Trial For Writing Code (crossover)

    Publicado: 30/12/2022
  11. #395: Tools for README.md Creation and Maintenance

    Publicado: 22/12/2022
  12. #394: Awesome Jupyter Libraries and Extensions in 2022

    Publicado: 15/12/2022
  13. #393: Space Science with Python

    Publicado: 8/12/2022
  14. #392: Data Science from the Command Line

    Publicado: 2/12/2022
  15. #391: Pyscript powered by MicroPython

    Publicado: 29/11/2022
  16. #390: Mastodon for Python Devs

    Publicado: 15/11/2022
  17. #389: 18 awesome asyncio packages in Python

    Publicado: 9/11/2022
  18. #388: Python 3.11 is here and it's fast

    Publicado: 2/11/2022
  19. #387: Build All the Things with Pants Build System

    Publicado: 27/10/2022
  20. #386: Realtime Web Apps and Dashboards with H2O Wave

    Publicado: 19/10/2022

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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