Talk Python To Me

En podkast av Michael Kennedy (@mkennedy)

Kategorier:

479 Episoder

  1. #318: Measuring your ML impact with CodeCarbon

    Publisert: 28.5.2021
  2. #317 Python at the US Federal Election Commission

    Publisert: 21.5.2021
  3. #316 Flask 2.0

    Publisert: 14.5.2021
  4. #315 Awesome FastAPI extensions and add ons

    Publisert: 7.5.2021
  5. #314 Ask us about modern Python projects and tools

    Publisert: 30.4.2021
  6. #313 Automate your data exchange with PyDantic

    Publisert: 22.4.2021
  7. #312 Python Apps that Scale to Billions of Users

    Publisert: 18.4.2021
  8. #311 Get inside the .git folder

    Publisert: 8.4.2021
  9. #310 AMA (Ask Me Anything) with Michael

    Publisert: 2.4.2021
  10. #309 What ML Can Teach Us About Life: 7 Lessons

    Publisert: 26.3.2021
  11. #308 Docker for Python Developers (2021 Edition)

    Publisert: 20.3.2021
  12. #307 Python from 1994 to 2021, my how you've grown!

    Publisert: 11.3.2021
  13. #306 Scaling Python and Jupyter with ZeroMQ

    Publisert: 5.3.2021
  14. #305 Python community at Python Discord

    Publisert: 1.3.2021
  15. #304 asyncio all the things with Omnilib

    Publisert: 21.2.2021
  16. #303 Python for Astronomy with Dr. Becky

    Publisert: 12.2.2021
  17. #302 The Data Engineering Landscape in 2021

    Publisert: 4.2.2021
  18. #301 Deploying and running Django web apps in 2021

    Publisert: 28.1.2021
  19. #300 Building a data science startup (panel)

    Publisert: 22.1.2021
  20. #299 Personal search engine with datasette and dogsheep

    Publisert: 17.1.2021

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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