Talk Python To Me

En podcast av Michael Kennedy

Kategorier:

493 Avsnitt

  1. #232 Become a robot developer with Python

    Publicerades: 2019-10-04
  2. #231 Advice for freelancing with Python

    Publicerades: 2019-09-25
  3. #230 Python in digital humanities research

    Publicerades: 2019-09-18
  4. #229 Building advanced Pythonic interviews with docassemble

    Publicerades: 2019-09-12
  5. #228 Hunting bugs and tech startups with Python

    Publicerades: 2019-09-04
  6. #227 Maintainable data science: Tips for non-developers

    Publicerades: 2019-08-28
  7. #226 Building Flask APIs for data scientists

    Publicerades: 2019-08-23
  8. #225 Can subinterpreters free us from Python's GIL?

    Publicerades: 2019-08-12
  9. #224 12 lessons from 100 days of web

    Publicerades: 2019-08-05
  10. #223 Fun and Easy 2D Games with Python

    Publicerades: 2019-07-30
  11. #222 Interactive graphs with Bokeh and Python

    Publicerades: 2019-07-26
  12. #221 Empowering developers by embedding Python

    Publicerades: 2019-07-18
  13. #220 Machine Learning in the cloud with Azure ML

    Publicerades: 2019-07-12
  14. #219 Take a Python tour of duty at the United States Digital Service

    Publicerades: 2019-07-05
  15. #218 Serverless Python functions in Azure

    Publicerades: 2019-06-25
  16. #217 Notebooks vs data science-enabled scripts

    Publicerades: 2019-06-21
  17. #216 Digging into Visual Studio Code

    Publicerades: 2019-06-14
  18. #215 The software powering Talk Python courses and podcast

    Publicerades: 2019-06-06
  19. #214 Dive into CPython 3.8 and beyond

    Publicerades: 2019-05-31
  20. #213 WebAssembly and CPython

    Publicerades: 2019-05-25

14 / 25

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