Talk Python To Me

Een podcast door Michael Kennedy

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494 Afleveringen

  1. #493: Quarto: Open-source technical publishing

    Gepubliceerd: 9-2-2025
  2. #492: Great Tables

    Gepubliceerd: 30-1-2025
  3. #491: DuckDB and Python: Ducks and Snakes living together

    Gepubliceerd: 27-12-2024
  4. #490: Django Ninja

    Gepubliceerd: 24-12-2024
  5. #489: Anaconda Toolbox for Excel and more with Peter Wang

    Gepubliceerd: 20-12-2024
  6. #488: Multimodal data with LanceDB

    Gepubliceerd: 12-12-2024
  7. #487: Building Rust Extensions for Python

    Gepubliceerd: 1-12-2024
  8. #486: CSnakes: Embed Python code in .NET

    Gepubliceerd: 22-11-2024
  9. #485: Secure coding for Python with SheHacksPurple

    Gepubliceerd: 15-11-2024
  10. #484: From React to a Django+HTMX based stack

    Gepubliceerd: 5-11-2024
  11. #483: Reflex Framework: Frontend, Backend, Pure Python

    Gepubliceerd: 29-10-2024
  12. #482: Pre-commit Hooks for Python Devs

    Gepubliceerd: 24-10-2024
  13. #481: Python Opinions and Zeitgeist with Hynek

    Gepubliceerd: 17-10-2024
  14. #480: Ahoy, Narwhals are bridging the data science APIs

    Gepubliceerd: 9-10-2024
  15. #479: Designing Effective Load Tests for Your Python App

    Gepubliceerd: 6-10-2024
  16. #478: When and how to start coding with kids

    Gepubliceerd: 25-9-2024
  17. #477: Awesome Text Tricks with NLP and spaCy

    Gepubliceerd: 20-9-2024
  18. #476: Unified Python packaging with uv

    Gepubliceerd: 4-9-2024
  19. #475: Python Language Summit 2024

    Gepubliceerd: 24-8-2024
  20. #474: Python Performance for Data Science

    Gepubliceerd: 19-8-2024

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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