Talk Python To Me

A podcast by Michael Kennedy

Categorie:

486 Episodio

  1. #465: The AI Revolution Won't Be Monopolized

    Pubblicato: 08/06/2024
  2. #464: Seeing code flows and generating tests with Kolo

    Pubblicato: 29/05/2024
  3. #463: Running on Rust: Granian Web Server

    Pubblicato: 25/05/2024
  4. #462: Pandas and Beyond with Wes McKinney

    Pubblicato: 15/05/2024
  5. #461: Python in Neuroscience and Academic Labs

    Pubblicato: 09/05/2024
  6. #460: Dropbase: Build Internal Tools with Python

    Pubblicato: 02/05/2024
  7. #459: I Built A Python SaaS with AI

    Pubblicato: 27/04/2024
  8. #458: Serverless Python in 2024

    Pubblicato: 24/04/2024
  9. #457: Software Supply Chain Security with Phylum

    Pubblicato: 19/04/2024
  10. #456: Building GPT Actions with FastAPI and Pydantic

    Pubblicato: 16/04/2024
  11. #455: Land Your First Data Job

    Pubblicato: 04/04/2024
  12. #454: Data Pipelines with Dagster

    Pubblicato: 21/03/2024
  13. #453: uv - The Next Evolution in Python Packages?

    Pubblicato: 13/03/2024
  14. #452: Top Quart (async Flask) Extensions

    Pubblicato: 10/03/2024
  15. #451: Djangonauts, Ready for Blast-Off

    Pubblicato: 01/03/2024
  16. #450: Versioning Web APIs in Python

    Pubblicato: 22/02/2024
  17. #449: Building UIs in Python with FastUI

    Pubblicato: 13/02/2024
  18. #448: Full-Time Open Source Devs Panel

    Pubblicato: 08/02/2024
  19. #447: Parallel Python Apps with Sub Interpreters

    Pubblicato: 03/02/2024
  20. #446: Python in Excel

    Pubblicato: 26/01/2024

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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