Talk Python To Me

Un pódcast de Michael Kennedy (@mkennedy)

Categorías:

456 Episodo

  1. #435: PyPI Security

    Publicado: 25/10/2023
  2. #434: Building Mobile Apps Backed with Python

    Publicado: 19/10/2023
  3. #433: Litestar: Effortlessly Build Performant APIs

    Publicado: 15/10/2023
  4. #432: Migrating to Pydantic 2.0: Beanie for MongoDB

    Publicado: 6/10/2023
  5. #431: Visualizing CPython Release Process

    Publicado: 29/9/2023
  6. #430: Delightful Machine Learning Apps with Gradio

    Publicado: 19/9/2023
  7. #429: Taming Flaky Tests

    Publicado: 11/9/2023
  8. #428: Django Trends in 2023

    Publicado: 29/8/2023
  9. #427: 10 Tips and Ideas for the Beginner to Expert Python Journey

    Publicado: 19/8/2023
  10. #426: What's New in PyScript [August 2023]

    Publicado: 9/8/2023
  11. #425: Memray: The endgame Python memory profiler

    Publicado: 4/8/2023
  12. #424: Shiny for Python

    Publicado: 27/7/2023
  13. #423: Solving 10 different simulation problems with Python

    Publicado: 24/7/2023
  14. #422: How data scientists use Python

    Publicado: 7/7/2023
  15. #421: Python at Netflix

    Publicado: 2/7/2023
  16. #420: Database Consistency & Isolation for Python Devs

    Publicado: 26/6/2023
  17. #419: Debugging Python in Production with PyStack

    Publicado: 14/6/2023
  18. #418: How To Keep A Secret in Python Apps

    Publicado: 2/6/2023
  19. #417: Test-Driven Prompt Engineering for LLMs with Promptimize

    Publicado: 30/5/2023
  20. #416: Open Source Sports Analytics with PySport

    Publicado: 22/5/2023

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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