Talk Python To Me

Podcast autorstwa Michael Kennedy

Kategorie:

485 Odcinki

  1. #144 Machine Learning at the Large Hadron Collider

    Opublikowany: 26.12.2017
  2. #143 Tuning Python Web App Performance

    Opublikowany: 20.12.2017
  3. #142 Automating the web with Selenium and InstaPy

    Opublikowany: 13.12.2017
  4. #141 Python tricks

    Opublikowany: 7.12.2017
  5. #140 Level up your Python with #100DaysOfCode challenge

    Opublikowany: 29.11.2017
  6. #139 Paths into a data science career

    Opublikowany: 22.11.2017
  7. #138 Anvil: All web, all Python

    Opublikowany: 15.11.2017
  8. #137 Design concepts and tips for developers

    Opublikowany: 8.11.2017
  9. #136 Secure code lessons from Have I Been Pwned

    Opublikowany: 2.11.2017
  10. #135 Capturing human moments with AI and Python

    Opublikowany: 27.10.2017
  11. #134 Python in Climate Science

    Opublikowany: 19.10.2017
  12. #133 Productivity for developers

    Opublikowany: 11.10.2017
  13. #132 Contributing to open source

    Opublikowany: 4.10.2017
  14. #131 Top 10 machine learning libraries

    Opublikowany: 26.09.2017
  15. #130 10 books Python developers should be reading

    Opublikowany: 19.09.2017
  16. #129 Falcon: The bare-metal Python web framework

    Opublikowany: 14.09.2017
  17. #128 Pythonic Networks with NAPALM

    Opublikowany: 7.09.2017
  18. #127 Shipping software to users

    Opublikowany: 31.08.2017
  19. #126 Kubernetes for Pythonistas

    Opublikowany: 22.08.2017
  20. #125 Django REST framework and a new API star is born

    Opublikowany: 15.08.2017

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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