Talk Python To Me

Podcast autorstwa Michael Kennedy

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485 Odcinki

  1. #424: Shiny for Python

    Opublikowany: 27.07.2023
  2. #423: Solving 10 different simulation problems with Python

    Opublikowany: 24.07.2023
  3. #422: How data scientists use Python

    Opublikowany: 7.07.2023
  4. #421: Python at Netflix

    Opublikowany: 2.07.2023
  5. #420: Database Consistency & Isolation for Python Devs

    Opublikowany: 26.06.2023
  6. #419: Debugging Python in Production with PyStack

    Opublikowany: 14.06.2023
  7. #418: How To Keep A Secret in Python Apps

    Opublikowany: 2.06.2023
  8. #417: Test-Driven Prompt Engineering for LLMs with Promptimize

    Opublikowany: 30.05.2023
  9. #416: Open Source Sports Analytics with PySport

    Opublikowany: 22.05.2023
  10. #415: Future of Pydantic and FastAPI

    Opublikowany: 15.05.2023
  11. #414: A Stroll Down Startup Lane

    Opublikowany: 7.05.2023
  12. #413: Live from PyCon 2023

    Opublikowany: 26.04.2023
  13. #412: PEP 711 - Distributing Python Binaries

    Opublikowany: 19.04.2023
  14. #411: Things I Wish Someone Had Explained To Me Sooner About Python

    Opublikowany: 14.04.2023
  15. #410: The Intersection of Tabular Data and Generative AI

    Opublikowany: 6.04.2023
  16. #409: Privacy as Code with Fides

    Opublikowany: 1.04.2023
  17. #408: Hatch: A Modern Python Workflow

    Opublikowany: 24.03.2023
  18. #407: pytest tips and tricks for better testing

    Opublikowany: 18.03.2023
  19. #406: Reimagining Python's Packaging Workflows

    Opublikowany: 12.03.2023
  20. #405: Testing in Radio Astronomy with Python and pytest

    Opublikowany: 3.03.2023

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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