504 Avsnitt

  1. #503: The PyArrow Revolution

    Publicerades: 2025-04-28
  2. #502: Django Ledger: Accounting with Python

    Publicerades: 2025-04-21
  3. #501: Marimo - Reactive Notebooks for Python

    Publicerades: 2025-04-14
  4. #500: Django Simple Deploy and other DevOps Things

    Publicerades: 2025-04-10
  5. #499: BeeWare and the State of Python on Mobile

    Publicerades: 2025-03-31
  6. #498: Algorithms for high performance terminal apps

    Publicerades: 2025-03-24
  7. #497: Outlier Detection with Python

    Publicerades: 2025-03-21
  8. #496: Scaf: Complete blueprint for new Python Kubernetes projects

    Publicerades: 2025-03-14
  9. #495: OSMnx: Python and OpenStreetMap

    Publicerades: 2025-02-24
  10. #494: Update on Flet: Python + Flutter UIs

    Publicerades: 2025-02-21
  11. #493: Quarto: Open-source technical publishing

    Publicerades: 2025-02-09
  12. #492: Great Tables

    Publicerades: 2025-01-30
  13. #491: DuckDB and Python: Ducks and Snakes living together

    Publicerades: 2024-12-27
  14. #490: Django Ninja

    Publicerades: 2024-12-24
  15. #489: Anaconda Toolbox for Excel and more with Peter Wang

    Publicerades: 2024-12-20
  16. #488: Multimodal data with LanceDB

    Publicerades: 2024-12-12
  17. #487: Building Rust Extensions for Python

    Publicerades: 2024-12-01
  18. #486: CSnakes: Embed Python code in .NET

    Publicerades: 2024-11-22
  19. #485: Secure coding for Python with SheHacksPurple

    Publicerades: 2024-11-15
  20. #484: From React to a Django+HTMX based stack

    Publicerades: 2024-11-05

1 / 26

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