Talk Python To Me

En podkast av Michael Kennedy (@mkennedy)

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479 Episoder

  1. #418: How To Keep A Secret in Python Apps

    Publisert: 2.6.2023
  2. #417: Test-Driven Prompt Engineering for LLMs with Promptimize

    Publisert: 30.5.2023
  3. #416: Open Source Sports Analytics with PySport

    Publisert: 22.5.2023
  4. #415: Future of Pydantic and FastAPI

    Publisert: 15.5.2023
  5. #414: A Stroll Down Startup Lane

    Publisert: 7.5.2023
  6. #413: Live from PyCon 2023

    Publisert: 26.4.2023
  7. #412: PEP 711 - Distributing Python Binaries

    Publisert: 19.4.2023
  8. #411: Things I Wish Someone Had Explained To Me Sooner About Python

    Publisert: 14.4.2023
  9. #410: The Intersection of Tabular Data and Generative AI

    Publisert: 6.4.2023
  10. #409: Privacy as Code with Fides

    Publisert: 1.4.2023
  11. #408: Hatch: A Modern Python Workflow

    Publisert: 24.3.2023
  12. #407: pytest tips and tricks for better testing

    Publisert: 18.3.2023
  13. #406: Reimagining Python's Packaging Workflows

    Publisert: 12.3.2023
  14. #405: Testing in Radio Astronomy with Python and pytest

    Publisert: 3.3.2023
  15. #404: Clean Code in Python

    Publisert: 20.2.2023
  16. #403: Fusion Ignition Breakthrough and Python

    Publisert: 13.2.2023
  17. #402: Polars: A Lightning-fast DataFrame for Python [updated audio]

    Publisert: 8.2.2023
  18. #401: Migrating 3.8 Million Lines of Python

    Publisert: 2.2.2023
  19. #400: Ruff - The Fast, Rust-based Python Linter

    Publisert: 25.1.2023
  20. #399: Monorepos in Python

    Publisert: 18.1.2023

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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