Talk Python To Me

A podcast by Michael Kennedy

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486 Episodio

  1. #485: Secure coding for Python with SheHacksPurple

    Pubblicato: 15/11/2024
  2. #484: From React to a Django+HTMX based stack

    Pubblicato: 05/11/2024
  3. #483: Reflex Framework: Frontend, Backend, Pure Python

    Pubblicato: 29/10/2024
  4. #482: Pre-commit Hooks for Python Devs

    Pubblicato: 24/10/2024
  5. #481: Python Opinions and Zeitgeist with Hynek

    Pubblicato: 17/10/2024
  6. #480: Ahoy, Narwhals are bridging the data science APIs

    Pubblicato: 09/10/2024
  7. #479: Designing Effective Load Tests for Your Python App

    Pubblicato: 06/10/2024
  8. #478: When and how to start coding with kids

    Pubblicato: 25/09/2024
  9. #477: Awesome Text Tricks with NLP and spaCy

    Pubblicato: 20/09/2024
  10. #476: Unified Python packaging with uv

    Pubblicato: 04/09/2024
  11. #475: Python Language Summit 2024

    Pubblicato: 24/08/2024
  12. #474: Python Performance for Data Science

    Pubblicato: 19/08/2024
  13. #473: Being a developer with ADHD

    Pubblicato: 02/08/2024
  14. #472: State of Flask and Pallets in 2024

    Pubblicato: 26/07/2024
  15. #471: Learning and teaching Pandas

    Pubblicato: 22/07/2024
  16. #470: Python in Medicine and Patient Care

    Pubblicato: 12/07/2024
  17. #469: PuePy: Reactive frontend framework in Python

    Pubblicato: 08/07/2024
  18. #468: Python Trends Episode 2024

    Pubblicato: 01/07/2024
  19. #467: Data Science Panel at PyCon 2024

    Pubblicato: 20/06/2024
  20. #466: Pydantic Performance Tips

    Pubblicato: 14/06/2024

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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