Talk Python To Me

A podcast by Michael Kennedy

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486 Episoade

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

    Publicat: 03.03.2023
  2. #404: Clean Code in Python

    Publicat: 20.02.2023
  3. #403: Fusion Ignition Breakthrough and Python

    Publicat: 13.02.2023
  4. #402: Polars: A Lightning-fast DataFrame for Python [updated audio]

    Publicat: 08.02.2023
  5. #401: Migrating 3.8 Million Lines of Python

    Publicat: 02.02.2023
  6. #400: Ruff - The Fast, Rust-based Python Linter

    Publicat: 25.01.2023
  7. #399: Monorepos in Python

    Publicat: 18.01.2023
  8. #398: Imaging Black Holes with Python

    Publicat: 14.01.2023
  9. #397: Evaluating New Open Source Tech Panel

    Publicat: 05.01.2023
  10. #396: AI Goes on Trial For Writing Code (crossover)

    Publicat: 30.12.2022
  11. #395: Tools for README.md Creation and Maintenance

    Publicat: 22.12.2022
  12. #394: Awesome Jupyter Libraries and Extensions in 2022

    Publicat: 15.12.2022
  13. #393: Space Science with Python

    Publicat: 08.12.2022
  14. #392: Data Science from the Command Line

    Publicat: 02.12.2022
  15. #391: Pyscript powered by MicroPython

    Publicat: 29.11.2022
  16. #390: Mastodon for Python Devs

    Publicat: 15.11.2022
  17. #389: 18 awesome asyncio packages in Python

    Publicat: 09.11.2022
  18. #388: Python 3.11 is here and it's fast

    Publicat: 02.11.2022
  19. #387: Build All the Things with Pants Build System

    Publicat: 27.10.2022
  20. #386: Realtime Web Apps and Dashboards with H2O Wave

    Publicat: 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