Talk Python To Me

En podcast av Michael Kennedy

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493 Avsnitt

  1. #412: PEP 711 - Distributing Python Binaries

    Publicerades: 2023-04-19
  2. #411: Things I Wish Someone Had Explained To Me Sooner About Python

    Publicerades: 2023-04-14
  3. #410: The Intersection of Tabular Data and Generative AI

    Publicerades: 2023-04-06
  4. #409: Privacy as Code with Fides

    Publicerades: 2023-04-01
  5. #408: Hatch: A Modern Python Workflow

    Publicerades: 2023-03-24
  6. #407: pytest tips and tricks for better testing

    Publicerades: 2023-03-18
  7. #406: Reimagining Python's Packaging Workflows

    Publicerades: 2023-03-12
  8. #405: Testing in Radio Astronomy with Python and pytest

    Publicerades: 2023-03-03
  9. #404: Clean Code in Python

    Publicerades: 2023-02-20
  10. #403: Fusion Ignition Breakthrough and Python

    Publicerades: 2023-02-13
  11. #402: Polars: A Lightning-fast DataFrame for Python [updated audio]

    Publicerades: 2023-02-08
  12. #401: Migrating 3.8 Million Lines of Python

    Publicerades: 2023-02-02
  13. #400: Ruff - The Fast, Rust-based Python Linter

    Publicerades: 2023-01-25
  14. #399: Monorepos in Python

    Publicerades: 2023-01-18
  15. #398: Imaging Black Holes with Python

    Publicerades: 2023-01-14
  16. #397: Evaluating New Open Source Tech Panel

    Publicerades: 2023-01-05
  17. #396: AI Goes on Trial For Writing Code (crossover)

    Publicerades: 2022-12-30
  18. #395: Tools for README.md Creation and Maintenance

    Publicerades: 2022-12-22
  19. #394: Awesome Jupyter Libraries and Extensions in 2022

    Publicerades: 2022-12-15
  20. #393: Space Science with Python

    Publicerades: 2022-12-08

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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