Talk Python To Me

Podcast tekijän mukaan Michael Kennedy

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494 Jaksot

  1. #393: Space Science with Python

    Julkaistiin: 8.12.2022
  2. #392: Data Science from the Command Line

    Julkaistiin: 2.12.2022
  3. #391: Pyscript powered by MicroPython

    Julkaistiin: 29.11.2022
  4. #390: Mastodon for Python Devs

    Julkaistiin: 15.11.2022
  5. #389: 18 awesome asyncio packages in Python

    Julkaistiin: 9.11.2022
  6. #388: Python 3.11 is here and it's fast

    Julkaistiin: 2.11.2022
  7. #387: Build All the Things with Pants Build System

    Julkaistiin: 27.10.2022
  8. #386: Realtime Web Apps and Dashboards with H2O Wave

    Julkaistiin: 19.10.2022
  9. #385: Higher level Python asyncio with AnyIO

    Julkaistiin: 15.10.2022
  10. #384: Python Data Visualization - Where To Start?

    Julkaistiin: 4.10.2022
  11. #383: Textinator and Building macOS Apps with Python

    Julkaistiin: 28.9.2022
  12. #382: Apache Superset: Modern Data Exploration Platform

    Julkaistiin: 22.9.2022
  13. #381: Python Perf: Specializing, Adaptive Interpreter

    Julkaistiin: 16.9.2022
  14. #380: 7 lessons from building a modern TUI framework

    Julkaistiin: 5.9.2022
  15. #379: 17 Libraries You Should Be Using in Django

    Julkaistiin: 26.8.2022
  16. #378: Flet: Flutter apps in Python

    Julkaistiin: 21.8.2022
  17. #377: Python Packaging and PyPI in 2022

    Julkaistiin: 13.8.2022
  18. #376: Pydantic v2 - The Plan

    Julkaistiin: 4.8.2022
  19. #375: Python Language Summit 2022

    Julkaistiin: 30.7.2022
  20. #374: PSF Survey in Review

    Julkaistiin: 20.7.2022

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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