Talk Python To Me

A podcast by Michael Kennedy

Categorie:

486 Episodio

  1. #245 Python packaging landscape in 2020

    Pubblicato: 03/01/2020
  2. #244 Top 10 Real Python Articles of 2019

    Pubblicato: 27/12/2019
  3. #243 Python on Windows is OK, actually

    Pubblicato: 17/12/2019
  4. #242 Your education will be live-streamed

    Pubblicato: 11/12/2019
  5. #241 Opal: Full stack health care apps

    Pubblicato: 07/12/2019
  6. #240 A guided tour of the CPython source code

    Pubblicato: 27/11/2019
  7. #239 Bayesian foundations

    Pubblicato: 23/11/2019
  8. #238 Collaborative data science with Gigantum

    Pubblicato: 14/11/2019
  9. #237 A gut feeling about Python

    Pubblicato: 06/11/2019
  10. #236 Scaling data science across Python and R

    Pubblicato: 29/10/2019
  11. #235 Python in your Browser with Skulpt

    Pubblicato: 23/10/2019
  12. #234 Awesome Python Applications

    Pubblicato: 15/10/2019
  13. #233 The Masonite Python Web Framework

    Pubblicato: 10/10/2019
  14. #232 Become a robot developer with Python

    Pubblicato: 04/10/2019
  15. #231 Advice for freelancing with Python

    Pubblicato: 25/09/2019
  16. #230 Python in digital humanities research

    Pubblicato: 18/09/2019
  17. #229 Building advanced Pythonic interviews with docassemble

    Pubblicato: 12/09/2019
  18. #228 Hunting bugs and tech startups with Python

    Pubblicato: 04/09/2019
  19. #227 Maintainable data science: Tips for non-developers

    Pubblicato: 28/08/2019
  20. #226 Building Flask APIs for data scientists

    Pubblicato: 23/08/2019

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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