Talk Python To Me

Podcast autorstwa Michael Kennedy

Kategorie:

494 Odcinki

  1. #313 Automate your data exchange with PyDantic

    Opublikowany: 22.04.2021
  2. #312 Python Apps that Scale to Billions of Users

    Opublikowany: 18.04.2021
  3. #311 Get inside the .git folder

    Opublikowany: 8.04.2021
  4. #310 AMA (Ask Me Anything) with Michael

    Opublikowany: 2.04.2021
  5. #309 What ML Can Teach Us About Life: 7 Lessons

    Opublikowany: 26.03.2021
  6. #308 Docker for Python Developers (2021 Edition)

    Opublikowany: 20.03.2021
  7. #307 Python from 1994 to 2021, my how you've grown!

    Opublikowany: 11.03.2021
  8. #306 Scaling Python and Jupyter with ZeroMQ

    Opublikowany: 5.03.2021
  9. #305 Python community at Python Discord

    Opublikowany: 1.03.2021
  10. #304 asyncio all the things with Omnilib

    Opublikowany: 21.02.2021
  11. #303 Python for Astronomy with Dr. Becky

    Opublikowany: 12.02.2021
  12. #302 The Data Engineering Landscape in 2021

    Opublikowany: 4.02.2021
  13. #301 Deploying and running Django web apps in 2021

    Opublikowany: 28.01.2021
  14. #300 Building a data science startup (panel)

    Opublikowany: 22.01.2021
  15. #299 Personal search engine with datasette and dogsheep

    Opublikowany: 17.01.2021
  16. #298 Building ML teams and finding ML jobs

    Opublikowany: 11.01.2021
  17. #297 Python year in review (2020 edition)

    Opublikowany: 28.12.2020
  18. #296 Python in F1 racing

    Opublikowany: 23.12.2020
  19. #295 GIS + Python

    Opublikowany: 18.12.2020
  20. #294 oso authorizes Python

    Opublikowany: 7.12.2020

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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