Talk Python To Me

En podcast av Michael Kennedy

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493 Avsnitt

  1. #312 Python Apps that Scale to Billions of Users

    Publicerades: 2021-04-18
  2. #311 Get inside the .git folder

    Publicerades: 2021-04-08
  3. #310 AMA (Ask Me Anything) with Michael

    Publicerades: 2021-04-02
  4. #309 What ML Can Teach Us About Life: 7 Lessons

    Publicerades: 2021-03-26
  5. #308 Docker for Python Developers (2021 Edition)

    Publicerades: 2021-03-20
  6. #307 Python from 1994 to 2021, my how you've grown!

    Publicerades: 2021-03-11
  7. #306 Scaling Python and Jupyter with ZeroMQ

    Publicerades: 2021-03-05
  8. #305 Python community at Python Discord

    Publicerades: 2021-03-01
  9. #304 asyncio all the things with Omnilib

    Publicerades: 2021-02-21
  10. #303 Python for Astronomy with Dr. Becky

    Publicerades: 2021-02-12
  11. #302 The Data Engineering Landscape in 2021

    Publicerades: 2021-02-04
  12. #301 Deploying and running Django web apps in 2021

    Publicerades: 2021-01-28
  13. #300 Building a data science startup (panel)

    Publicerades: 2021-01-22
  14. #299 Personal search engine with datasette and dogsheep

    Publicerades: 2021-01-17
  15. #298 Building ML teams and finding ML jobs

    Publicerades: 2021-01-11
  16. #297 Python year in review (2020 edition)

    Publicerades: 2020-12-28
  17. #296 Python in F1 racing

    Publicerades: 2020-12-23
  18. #295 GIS + Python

    Publicerades: 2020-12-18
  19. #294 oso authorizes Python

    Publicerades: 2020-12-07
  20. #293 Learning how to learn as a developer

    Publicerades: 2020-12-01

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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