Talk Python To Me

Podcast autorstwa Michael Kennedy

Kategorie:

494 Odcinki

  1. #413: Live from PyCon 2023

    Opublikowany: 26.04.2023
  2. #412: PEP 711 - Distributing Python Binaries

    Opublikowany: 19.04.2023
  3. #411: Things I Wish Someone Had Explained To Me Sooner About Python

    Opublikowany: 14.04.2023
  4. #410: The Intersection of Tabular Data and Generative AI

    Opublikowany: 6.04.2023
  5. #409: Privacy as Code with Fides

    Opublikowany: 1.04.2023
  6. #408: Hatch: A Modern Python Workflow

    Opublikowany: 24.03.2023
  7. #407: pytest tips and tricks for better testing

    Opublikowany: 18.03.2023
  8. #406: Reimagining Python's Packaging Workflows

    Opublikowany: 12.03.2023
  9. #405: Testing in Radio Astronomy with Python and pytest

    Opublikowany: 3.03.2023
  10. #404: Clean Code in Python

    Opublikowany: 20.02.2023
  11. #403: Fusion Ignition Breakthrough and Python

    Opublikowany: 13.02.2023
  12. #402: Polars: A Lightning-fast DataFrame for Python [updated audio]

    Opublikowany: 8.02.2023
  13. #401: Migrating 3.8 Million Lines of Python

    Opublikowany: 2.02.2023
  14. #400: Ruff - The Fast, Rust-based Python Linter

    Opublikowany: 25.01.2023
  15. #399: Monorepos in Python

    Opublikowany: 18.01.2023
  16. #398: Imaging Black Holes with Python

    Opublikowany: 14.01.2023
  17. #397: Evaluating New Open Source Tech Panel

    Opublikowany: 5.01.2023
  18. #396: AI Goes on Trial For Writing Code (crossover)

    Opublikowany: 30.12.2022
  19. #395: Tools for README.md Creation and Maintenance

    Opublikowany: 22.12.2022
  20. #394: Awesome Jupyter Libraries and Extensions in 2022

    Opublikowany: 15.12.2022

5 / 25

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