Talk Python To Me

Podcast autorstwa Michael Kennedy

Kategorie:

504 Odcinki

  1. #83 Python Videos on Demand at PyVideo

    Opublikowany: 2.11.2016
  2. #82 Grokking Algorithms in Python

    Opublikowany: 27.10.2016
  3. #81 Python and Machine Learning in Astronomy

    Opublikowany: 21.10.2016
  4. #80 TinyDB: A tiny document db written in Python

    Opublikowany: 16.10.2016
  5. #79 Beeware Python Tools

    Opublikowany: 7.10.2016
  6. #78 How I built an entire game and toolchain 100% in Python

    Opublikowany: 28.09.2016
  7. #77 20 Python Libraries You Aren't Using (But Should)

    Opublikowany: 23.09.2016
  8. #76 Renewable Python

    Opublikowany: 15.09.2016
  9. #75 Pythonic games at CheckIO

    Opublikowany: 9.09.2016
  10. #74 Past, Present, and Future of IronPython

    Opublikowany: 2.09.2016
  11. #73 Machine learning at the new Microsoft

    Opublikowany: 26.08.2016
  12. #72 Fashion-driven open source software at Zalando

    Opublikowany: 19.08.2016
  13. #71 Soft Skills: The software developer's life manual

    Opublikowany: 11.08.2016
  14. #70 Pythonic cover songs at Loudr

    Opublikowany: 5.08.2016
  15. #69 Write an Excellent Programming Blog

    Opublikowany: 26.07.2016
  16. #68 Crossing the streams with Podcast.__init__

    Opublikowany: 20.07.2016
  17. #67 Property-based Testing with Hypothesis

    Opublikowany: 13.07.2016
  18. #66 Faster Python Programs: Measure, Don't Guess

    Opublikowany: 7.07.2016
  19. #65 Jump on the real-time web with RethinkDB

    Opublikowany: 29.06.2016
  20. #64 Inside the Python Package Index

    Opublikowany: 24.06.2016

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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