Talk Python To Me

Un pódcast de Michael Kennedy (@mkennedy)

Categorías:

456 Episodo

  1. #315 Awesome FastAPI extensions and add ons

    Publicado: 7/5/2021
  2. #314 Ask us about modern Python projects and tools

    Publicado: 30/4/2021
  3. #313 Automate your data exchange with PyDantic

    Publicado: 22/4/2021
  4. #312 Python Apps that Scale to Billions of Users

    Publicado: 18/4/2021
  5. #311 Get inside the .git folder

    Publicado: 8/4/2021
  6. #310 AMA (Ask Me Anything) with Michael

    Publicado: 2/4/2021
  7. #309 What ML Can Teach Us About Life: 7 Lessons

    Publicado: 26/3/2021
  8. #308 Docker for Python Developers (2021 Edition)

    Publicado: 20/3/2021
  9. #307 Python from 1994 to 2021, my how you've grown!

    Publicado: 11/3/2021
  10. #306 Scaling Python and Jupyter with ZeroMQ

    Publicado: 5/3/2021
  11. #305 Python community at Python Discord

    Publicado: 1/3/2021
  12. #304 asyncio all the things with Omnilib

    Publicado: 21/2/2021
  13. #303 Python for Astronomy with Dr. Becky

    Publicado: 12/2/2021
  14. #302 The Data Engineering Landscape in 2021

    Publicado: 4/2/2021
  15. #301 Deploying and running Django web apps in 2021

    Publicado: 28/1/2021
  16. #300 Building a data science startup (panel)

    Publicado: 22/1/2021
  17. #299 Personal search engine with datasette and dogsheep

    Publicado: 17/1/2021
  18. #298 Building ML teams and finding ML jobs

    Publicado: 11/1/2021
  19. #297 Python year in review (2020 edition)

    Publicado: 28/12/2020
  20. #296 Python in F1 racing

    Publicado: 23/12/2020

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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