Talk Python To Me

Un pódcast de Michael Kennedy

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494 Episodo

  1. #433: Litestar: Effortlessly Build Performant APIs

    Publicado: 15/10/2023
  2. #432: Migrating to Pydantic 2.0: Beanie for MongoDB

    Publicado: 6/10/2023
  3. #431: Visualizing CPython Release Process

    Publicado: 29/9/2023
  4. #430: Delightful Machine Learning Apps with Gradio

    Publicado: 19/9/2023
  5. #429: Taming Flaky Tests

    Publicado: 11/9/2023
  6. #428: Django Trends in 2023

    Publicado: 29/8/2023
  7. #427: 10 Tips and Ideas for the Beginner to Expert Python Journey

    Publicado: 19/8/2023
  8. #426: What's New in PyScript [August 2023]

    Publicado: 9/8/2023
  9. #425: Memray: The endgame Python memory profiler

    Publicado: 4/8/2023
  10. #424: Shiny for Python

    Publicado: 27/7/2023
  11. #423: Solving 10 different simulation problems with Python

    Publicado: 24/7/2023
  12. #422: How data scientists use Python

    Publicado: 7/7/2023
  13. #421: Python at Netflix

    Publicado: 2/7/2023
  14. #420: Database Consistency & Isolation for Python Devs

    Publicado: 26/6/2023
  15. #419: Debugging Python in Production with PyStack

    Publicado: 14/6/2023
  16. #418: How To Keep A Secret in Python Apps

    Publicado: 2/6/2023
  17. #417: Test-Driven Prompt Engineering for LLMs with Promptimize

    Publicado: 30/5/2023
  18. #416: Open Source Sports Analytics with PySport

    Publicado: 22/5/2023
  19. #415: Future of Pydantic and FastAPI

    Publicado: 15/5/2023
  20. #414: A Stroll Down Startup Lane

    Publicado: 7/5/2023

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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