Talk Python To Me

A podcast by Michael Kennedy

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486 Episodes

  1. #385: Higher level Python asyncio with AnyIO

    Published: 10/15/2022
  2. #384: Python Data Visualization - Where To Start?

    Published: 10/4/2022
  3. #383: Textinator and Building macOS Apps with Python

    Published: 9/28/2022
  4. #382: Apache Superset: Modern Data Exploration Platform

    Published: 9/22/2022
  5. #381: Python Perf: Specializing, Adaptive Interpreter

    Published: 9/16/2022
  6. #380: 7 lessons from building a modern TUI framework

    Published: 9/5/2022
  7. #379: 17 Libraries You Should Be Using in Django

    Published: 8/26/2022
  8. #378: Flet: Flutter apps in Python

    Published: 8/21/2022
  9. #377: Python Packaging and PyPI in 2022

    Published: 8/13/2022
  10. #376: Pydantic v2 - The Plan

    Published: 8/4/2022
  11. #375: Python Language Summit 2022

    Published: 7/30/2022
  12. #374: PSF Survey in Review

    Published: 7/20/2022
  13. #373: Reinventing Azure's Python CLI

    Published: 7/12/2022
  14. #372: Applied mathematics with Python

    Published: 7/8/2022
  15. #371: pipx - Installable, Isolated Python Applications

    Published: 6/30/2022
  16. #370: OpenBB: Python's Open-source Investment Platform

    Published: 6/22/2022
  17. #369: Getting Lazy with Python Imports and PEP 690

    Published: 6/16/2022
  18. #368: End-to-End Web Testing with Playwright

    Published: 6/3/2022
  19. #367: Say Hello to PyScript (WebAssembly Python)

    Published: 5/25/2022
  20. #366: Optimizing PostgreSQL DB Queries with pgMustard

    Published: 5/20/2022

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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.