Talk Python To Me

A podcast by Michael Kennedy

Categorie:

486 Episodio

  1. #325: MicroPython + CircuitPython

    Pubblicato: 15/07/2021
  2. #324: Gatorade-powered Python APIs

    Pubblicato: 09/07/2021
  3. #323: Best practices for Docker in production

    Pubblicato: 03/07/2021
  4. #322: A path into data science

    Pubblicato: 25/06/2021
  5. #321: HTMX - Clean, Dynamic HTML Pages

    Pubblicato: 19/06/2021
  6. #320: Python in the Electrical Energy Sector

    Pubblicato: 12/06/2021
  7. #319: Typosquatting and Supply Chains Vulnerabilities

    Pubblicato: 06/06/2021
  8. #318: Measuring your ML impact with CodeCarbon

    Pubblicato: 28/05/2021
  9. #317 Python at the US Federal Election Commission

    Pubblicato: 21/05/2021
  10. #316 Flask 2.0

    Pubblicato: 14/05/2021
  11. #315 Awesome FastAPI extensions and add ons

    Pubblicato: 07/05/2021
  12. #314 Ask us about modern Python projects and tools

    Pubblicato: 30/04/2021
  13. #313 Automate your data exchange with PyDantic

    Pubblicato: 22/04/2021
  14. #312 Python Apps that Scale to Billions of Users

    Pubblicato: 18/04/2021
  15. #311 Get inside the .git folder

    Pubblicato: 08/04/2021
  16. #310 AMA (Ask Me Anything) with Michael

    Pubblicato: 02/04/2021
  17. #309 What ML Can Teach Us About Life: 7 Lessons

    Pubblicato: 26/03/2021
  18. #308 Docker for Python Developers (2021 Edition)

    Pubblicato: 20/03/2021
  19. #307 Python from 1994 to 2021, my how you've grown!

    Pubblicato: 11/03/2021
  20. #306 Scaling Python and Jupyter with ZeroMQ

    Pubblicato: 05/03/2021

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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