Talk Python To Me

En podcast af Michael Kennedy

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494 Episoder

  1. #373: Reinventing Azure's Python CLI

    Udgivet: 12.7.2022
  2. #372: Applied mathematics with Python

    Udgivet: 8.7.2022
  3. #371: pipx - Installable, Isolated Python Applications

    Udgivet: 30.6.2022
  4. #370: OpenBB: Python's Open-source Investment Platform

    Udgivet: 22.6.2022
  5. #369: Getting Lazy with Python Imports and PEP 690

    Udgivet: 16.6.2022
  6. #368: End-to-End Web Testing with Playwright

    Udgivet: 3.6.2022
  7. #367: Say Hello to PyScript (WebAssembly Python)

    Udgivet: 25.5.2022
  8. #366: Optimizing PostgreSQL DB Queries with pgMustard

    Udgivet: 20.5.2022
  9. #365: Solving Negative Engineering Problems with Prefect

    Udgivet: 12.5.2022
  10. #364: Symbolic Math with Python using SymPy

    Udgivet: 7.5.2022
  11. #363: Python for .NET and C# developers

    Udgivet: 28.4.2022
  12. #362: Hypermodern Python Projects

    Udgivet: 20.4.2022
  13. #361: Pangeo Data Ecosystem

    Udgivet: 16.4.2022
  14. #360: Removing Python's Dead Batteries (in just 5 years)

    Udgivet: 8.4.2022
  15. #359: Lifecycle of a machine learning project

    Udgivet: 3.4.2022
  16. #358: Understanding Pandas visually with PandasTutor

    Udgivet: 25.3.2022
  17. #357: Python and the James Webb Space Telescope

    Udgivet: 21.3.2022
  18. #356: Tips for ML / AI startups

    Udgivet: 14.3.2022
  19. #355: EdgeDB - Building a database in Python

    Udgivet: 6.3.2022
  20. #354: Sphinx, MyST, and Python Docs in 2022

    Udgivet: 24.2.2022

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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