512 Avsnitt

  1. #31 Machine Learning with Python and scikit-learn

    Publicerades: 2015-10-27
  2. #30 Python Community and Python at Dropbox

    Publicerades: 2015-10-20
  3. #29 Python at the Large Hadron Collider and CERN

    Publicerades: 2015-10-13
  4. #28 Making Python Fast: Profiling Python Code

    Publicerades: 2015-10-06
  5. #27 Four Years of Python for High Schoolers

    Publicerades: 2015-09-29
  6. #26 Deploying Python Web Applications (Updated)

    Publicerades: 2015-09-22
  7. #25 Effective Python

    Publicerades: 2015-09-15
  8. #24 Fluent Python

    Publicerades: 2015-09-08
  9. #23 3D Printing with Python at Authentise

    Publicerades: 2015-09-01
  10. #22 CPython Internals and Learning Python with pythontutor.com

    Publicerades: 2015-08-25
  11. #21 PyPy - The JIT Compiled Python Implementation

    Publicerades: 2015-08-18
  12. #20 Interactive Python and Teaching Python: Beyond Text Books

    Publicerades: 2015-08-11
  13. #19 Automate the Boring Stuff with Python

    Publicerades: 2015-08-04
  14. #18 Python Anti-patterns and other mistakes

    Publicerades: 2015-07-28
  15. #17 Python on bare metal with MicroPython

    Publicerades: 2015-07-21
  16. #16 Python at Netflix

    Publicerades: 2015-07-14
  17. #15 Python at Spotify, PSF, and PyLadies

    Publicerades: 2015-07-07
  18. #14 Moving from PHP to Python 3 with Patreon

    Publicerades: 2015-06-30
  19. #13 Flask web framework and much, much more

    Publicerades: 2015-06-23
  20. #12 Deep Dive into Modules and Packages

    Publicerades: 2015-06-16

25 / 26

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