Talk Python To Me

A podcast by Michael Kennedy (@mkennedy)

Categories:

479 Episodes

  1. #238 Collaborative data science with Gigantum

    Published: 14/11/2019
  2. #237 A gut feeling about Python

    Published: 6/11/2019
  3. #236 Scaling data science across Python and R

    Published: 29/10/2019
  4. #235 Python in your Browser with Skulpt

    Published: 23/10/2019
  5. #234 Awesome Python Applications

    Published: 15/10/2019
  6. #233 The Masonite Python Web Framework

    Published: 10/10/2019
  7. #232 Become a robot developer with Python

    Published: 4/10/2019
  8. #231 Advice for freelancing with Python

    Published: 25/09/2019
  9. #230 Python in digital humanities research

    Published: 18/09/2019
  10. #229 Building advanced Pythonic interviews with docassemble

    Published: 12/09/2019
  11. #228 Hunting bugs and tech startups with Python

    Published: 4/09/2019
  12. #227 Maintainable data science: Tips for non-developers

    Published: 28/08/2019
  13. #226 Building Flask APIs for data scientists

    Published: 23/08/2019
  14. #225 Can subinterpreters free us from Python's GIL?

    Published: 12/08/2019
  15. #224 12 lessons from 100 days of web

    Published: 5/08/2019
  16. #223 Fun and Easy 2D Games with Python

    Published: 30/07/2019
  17. #222 Interactive graphs with Bokeh and Python

    Published: 26/07/2019
  18. #221 Empowering developers by embedding Python

    Published: 18/07/2019
  19. #220 Machine Learning in the cloud with Azure ML

    Published: 12/07/2019
  20. #219 Take a Python tour of duty at the United States Digital Service

    Published: 5/07/2019

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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