504 Avsnitt

  1. #423: Solving 10 different simulation problems with Python

    Publicerades: 2023-07-24
  2. #422: How data scientists use Python

    Publicerades: 2023-07-07
  3. #421: Python at Netflix

    Publicerades: 2023-07-02
  4. #420: Database Consistency & Isolation for Python Devs

    Publicerades: 2023-06-26
  5. #419: Debugging Python in Production with PyStack

    Publicerades: 2023-06-14
  6. #418: How To Keep A Secret in Python Apps

    Publicerades: 2023-06-02
  7. #417: Test-Driven Prompt Engineering for LLMs with Promptimize

    Publicerades: 2023-05-30
  8. #416: Open Source Sports Analytics with PySport

    Publicerades: 2023-05-22
  9. #415: Future of Pydantic and FastAPI

    Publicerades: 2023-05-15
  10. #414: A Stroll Down Startup Lane

    Publicerades: 2023-05-07
  11. #413: Live from PyCon 2023

    Publicerades: 2023-04-26
  12. #412: PEP 711 - Distributing Python Binaries

    Publicerades: 2023-04-19
  13. #411: Things I Wish Someone Had Explained To Me Sooner About Python

    Publicerades: 2023-04-14
  14. #410: The Intersection of Tabular Data and Generative AI

    Publicerades: 2023-04-06
  15. #409: Privacy as Code with Fides

    Publicerades: 2023-04-01
  16. #408: Hatch: A Modern Python Workflow

    Publicerades: 2023-03-24
  17. #407: pytest tips and tricks for better testing

    Publicerades: 2023-03-18
  18. #406: Reimagining Python's Packaging Workflows

    Publicerades: 2023-03-12
  19. #405: Testing in Radio Astronomy with Python and pytest

    Publicerades: 2023-03-03
  20. #404: Clean Code in Python

    Publicerades: 2023-02-20

5 / 26

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