Talk Python To Me

A podcast by Michael Kennedy

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486 Episoade

  1. #425: Memray: The endgame Python memory profiler

    Publicat: 04.08.2023
  2. #424: Shiny for Python

    Publicat: 27.07.2023
  3. #423: Solving 10 different simulation problems with Python

    Publicat: 24.07.2023
  4. #422: How data scientists use Python

    Publicat: 07.07.2023
  5. #421: Python at Netflix

    Publicat: 02.07.2023
  6. #420: Database Consistency & Isolation for Python Devs

    Publicat: 26.06.2023
  7. #419: Debugging Python in Production with PyStack

    Publicat: 14.06.2023
  8. #418: How To Keep A Secret in Python Apps

    Publicat: 02.06.2023
  9. #417: Test-Driven Prompt Engineering for LLMs with Promptimize

    Publicat: 30.05.2023
  10. #416: Open Source Sports Analytics with PySport

    Publicat: 22.05.2023
  11. #415: Future of Pydantic and FastAPI

    Publicat: 15.05.2023
  12. #414: A Stroll Down Startup Lane

    Publicat: 07.05.2023
  13. #413: Live from PyCon 2023

    Publicat: 26.04.2023
  14. #412: PEP 711 - Distributing Python Binaries

    Publicat: 19.04.2023
  15. #411: Things I Wish Someone Had Explained To Me Sooner About Python

    Publicat: 14.04.2023
  16. #410: The Intersection of Tabular Data and Generative AI

    Publicat: 06.04.2023
  17. #409: Privacy as Code with Fides

    Publicat: 01.04.2023
  18. #408: Hatch: A Modern Python Workflow

    Publicat: 24.03.2023
  19. #407: pytest tips and tricks for better testing

    Publicat: 18.03.2023
  20. #406: Reimagining Python's Packaging Workflows

    Publicat: 12.03.2023

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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