Talk Python To Me

A podcast by Michael Kennedy

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504 Episodes

  1. #403: Fusion Ignition Breakthrough and Python

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

    Published: 2/8/2023
  3. #401: Migrating 3.8 Million Lines of Python

    Published: 2/2/2023
  4. #400: Ruff - The Fast, Rust-based Python Linter

    Published: 1/25/2023
  5. #399: Monorepos in Python

    Published: 1/18/2023
  6. #398: Imaging Black Holes with Python

    Published: 1/14/2023
  7. #397: Evaluating New Open Source Tech Panel

    Published: 1/5/2023
  8. #396: AI Goes on Trial For Writing Code (crossover)

    Published: 12/30/2022
  9. #395: Tools for README.md Creation and Maintenance

    Published: 12/22/2022
  10. #394: Awesome Jupyter Libraries and Extensions in 2022

    Published: 12/15/2022
  11. #393: Space Science with Python

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

    Published: 12/2/2022
  13. #391: Pyscript powered by MicroPython

    Published: 11/29/2022
  14. #390: Mastodon for Python Devs

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

    Published: 11/9/2022
  16. #388: Python 3.11 is here and it's fast

    Published: 11/2/2022
  17. #387: Build All the Things with Pants Build System

    Published: 10/27/2022
  18. #386: Realtime Web Apps and Dashboards with H2O Wave

    Published: 10/19/2022
  19. #385: Higher level Python asyncio with AnyIO

    Published: 10/15/2022
  20. #384: Python Data Visualization - Where To Start?

    Published: 10/4/2022

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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.