Talk Python To Me

Un pódcast de Michael Kennedy (@mkennedy)

Categorías:

456 Episodo

  1. #375: Python Language Summit 2022

    Publicado: 30/7/2022
  2. #374: PSF Survey in Review

    Publicado: 20/7/2022
  3. #373: Reinventing Azure's Python CLI

    Publicado: 12/7/2022
  4. #372: Applied mathematics with Python

    Publicado: 8/7/2022
  5. #371: pipx - Installable, Isolated Python Applications

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

    Publicado: 22/6/2022
  7. #369: Getting Lazy with Python Imports and PEP 690

    Publicado: 16/6/2022
  8. #368: End-to-End Web Testing with Playwright

    Publicado: 3/6/2022
  9. #367: Say Hello to PyScript (WebAssembly Python)

    Publicado: 25/5/2022
  10. #366: Optimizing PostgreSQL DB Queries with pgMustard

    Publicado: 20/5/2022
  11. #365: Solving Negative Engineering Problems with Prefect

    Publicado: 12/5/2022
  12. #364: Symbolic Math with Python using SymPy

    Publicado: 7/5/2022
  13. #363: Python for .NET and C# developers

    Publicado: 28/4/2022
  14. #362: Hypermodern Python Projects

    Publicado: 20/4/2022
  15. #361: Pangeo Data Ecosystem

    Publicado: 16/4/2022
  16. #360: Removing Python's Dead Batteries (in just 5 years)

    Publicado: 8/4/2022
  17. #359: Lifecycle of a machine learning project

    Publicado: 3/4/2022
  18. #358: Understanding Pandas visually with PandasTutor

    Publicado: 25/3/2022
  19. #357: Python and the James Webb Space Telescope

    Publicado: 21/3/2022
  20. #356: Tips for ML / AI startups

    Publicado: 14/3/2022

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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