Talk Python To Me

En podcast av Michael Kennedy

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493 Avsnitt

  1. #432: Migrating to Pydantic 2.0: Beanie for MongoDB

    Publicerades: 2023-10-06
  2. #431: Visualizing CPython Release Process

    Publicerades: 2023-09-29
  3. #430: Delightful Machine Learning Apps with Gradio

    Publicerades: 2023-09-19
  4. #429: Taming Flaky Tests

    Publicerades: 2023-09-11
  5. #428: Django Trends in 2023

    Publicerades: 2023-08-29
  6. #427: 10 Tips and Ideas for the Beginner to Expert Python Journey

    Publicerades: 2023-08-19
  7. #426: What's New in PyScript [August 2023]

    Publicerades: 2023-08-09
  8. #425: Memray: The endgame Python memory profiler

    Publicerades: 2023-08-04
  9. #424: Shiny for Python

    Publicerades: 2023-07-27
  10. #423: Solving 10 different simulation problems with Python

    Publicerades: 2023-07-24
  11. #422: How data scientists use Python

    Publicerades: 2023-07-07
  12. #421: Python at Netflix

    Publicerades: 2023-07-02
  13. #420: Database Consistency & Isolation for Python Devs

    Publicerades: 2023-06-26
  14. #419: Debugging Python in Production with PyStack

    Publicerades: 2023-06-14
  15. #418: How To Keep A Secret in Python Apps

    Publicerades: 2023-06-02
  16. #417: Test-Driven Prompt Engineering for LLMs with Promptimize

    Publicerades: 2023-05-30
  17. #416: Open Source Sports Analytics with PySport

    Publicerades: 2023-05-22
  18. #415: Future of Pydantic and FastAPI

    Publicerades: 2023-05-15
  19. #414: A Stroll Down Startup Lane

    Publicerades: 2023-05-07
  20. #413: Live from PyCon 2023

    Publicerades: 2023-04-26

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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