Talk Python To Me

En podkast av Michael Kennedy (@mkennedy)

Kategorier:

479 Episoder

  1. #398: Imaging Black Holes with Python

    Publisert: 14.1.2023
  2. #397: Evaluating New Open Source Tech Panel

    Publisert: 5.1.2023
  3. #396: AI Goes on Trial For Writing Code (crossover)

    Publisert: 30.12.2022
  4. #395: Tools for README.md Creation and Maintenance

    Publisert: 22.12.2022
  5. #394: Awesome Jupyter Libraries and Extensions in 2022

    Publisert: 15.12.2022
  6. #393: Space Science with Python

    Publisert: 8.12.2022
  7. #392: Data Science from the Command Line

    Publisert: 2.12.2022
  8. #391: Pyscript powered by MicroPython

    Publisert: 29.11.2022
  9. #390: Mastodon for Python Devs

    Publisert: 15.11.2022
  10. #389: 18 awesome asyncio packages in Python

    Publisert: 9.11.2022
  11. #388: Python 3.11 is here and it's fast

    Publisert: 2.11.2022
  12. #387: Build All the Things with Pants Build System

    Publisert: 27.10.2022
  13. #386: Realtime Web Apps and Dashboards with H2O Wave

    Publisert: 19.10.2022
  14. #385: Higher level Python asyncio with AnyIO

    Publisert: 15.10.2022
  15. #384: Python Data Visualization - Where To Start?

    Publisert: 4.10.2022
  16. #383: Textinator and Building macOS Apps with Python

    Publisert: 28.9.2022
  17. #382: Apache Superset: Modern Data Exploration Platform

    Publisert: 22.9.2022
  18. #381: Python Perf: Specializing, Adaptive Interpreter

    Publisert: 16.9.2022
  19. #380: 7 lessons from building a modern TUI framework

    Publisert: 5.9.2022
  20. #379: 17 Libraries You Should Be Using in Django

    Publisert: 26.8.2022

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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