Talk Python To Me

Un pódcast de Michael Kennedy (@mkennedy)

Categorías:

456 Episodo

  1. #415: Future of Pydantic and FastAPI

    Publicado: 15/5/2023
  2. #414: A Stroll Down Startup Lane

    Publicado: 7/5/2023
  3. #413: Live from PyCon 2023

    Publicado: 26/4/2023
  4. #412: PEP 711 - Distributing Python Binaries

    Publicado: 19/4/2023
  5. #411: Things I Wish Someone Had Explained To Me Sooner About Python

    Publicado: 14/4/2023
  6. #410: The Intersection of Tabular Data and Generative AI

    Publicado: 6/4/2023
  7. #409: Privacy as Code with Fides

    Publicado: 1/4/2023
  8. #408: Hatch: A Modern Python Workflow

    Publicado: 24/3/2023
  9. #407: pytest tips and tricks for better testing

    Publicado: 18/3/2023
  10. #406: Reimagining Python's Packaging Workflows

    Publicado: 12/3/2023
  11. #405: Testing in Radio Astronomy with Python and pytest

    Publicado: 3/3/2023
  12. #404: Clean Code in Python

    Publicado: 20/2/2023
  13. #403: Fusion Ignition Breakthrough and Python

    Publicado: 13/2/2023
  14. #402: Polars: A Lightning-fast DataFrame for Python [updated audio]

    Publicado: 8/2/2023
  15. #401: Migrating 3.8 Million Lines of Python

    Publicado: 2/2/2023
  16. #400: Ruff - The Fast, Rust-based Python Linter

    Publicado: 25/1/2023
  17. #399: Monorepos in Python

    Publicado: 18/1/2023
  18. #398: Imaging Black Holes with Python

    Publicado: 14/1/2023
  19. #397: Evaluating New Open Source Tech Panel

    Publicado: 5/1/2023
  20. #396: AI Goes on Trial For Writing Code (crossover)

    Publicado: 30/12/2022

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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