Talk Python To Me

Podcast autorstwa Michael Kennedy

Kategorie:

485 Odcinki

  1. #284 Modern and fast APIs with FastAPI

    Opublikowany: 4.10.2020
  2. #283 Web scraping, the 2020 edition

    Opublikowany: 23.09.2020
  3. #282 pre-commit framework

    Opublikowany: 17.09.2020
  4. #281 Python in Car Racing

    Opublikowany: 9.09.2020
  5. #280 Python and AI in Journalism

    Opublikowany: 5.09.2020
  6. #279 Modern Python Developer's Toolkit

    Opublikowany: 29.08.2020
  7. #278 Teach kids Python with real programming and fun games at Code Combat

    Opublikowany: 21.08.2020
  8. #277 10 tips every Django developer should know

    Opublikowany: 10.08.2020
  9. #276 Geekout: Life in the solar system and beyond

    Opublikowany: 6.08.2020
  10. #275 Beautiful Pythonic Refactorings

    Opublikowany: 1.08.2020
  11. #274 Profiling data science code with FIL

    Opublikowany: 24.07.2020
  12. #273 CoCalc: A fully colloborative notebook development environment

    Opublikowany: 18.07.2020
  13. #272 No IoT things in hand? Simulate them with Device Simulator Express

    Opublikowany: 12.07.2020
  14. #271 Unlock the mysteries of time, Python's datetime that is!

    Opublikowany: 4.07.2020
  15. #270 Python in supply chains: oil rigs, rockets, and lettuce

    Opublikowany: 25.06.2020
  16. #269 HoloViz - a suite of tools for Python visualization

    Opublikowany: 19.06.2020
  17. #268 Analyzing dozens of notebook environments

    Opublikowany: 13.06.2020
  18. #267 15 amazing pytest plugins

    Opublikowany: 6.06.2020
  19. #266 Refactoring your code, like magic with Sourcery

    Opublikowany: 29.05.2020
  20. #265 Why is Python slow?

    Opublikowany: 19.05.2020

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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