Talk Python To Me

Podcast autorstwa Michael Kennedy

Kategorie:

504 Odcinki

  1. #103 Compiling Python through PyLLVM and MongoDB for Data Scientists

    Opublikowany: 16.03.2017
  2. #102 Effective Code Reviews

    Opublikowany: 8.03.2017
  3. #101 Adding a full featured Python environment to Visual Studio Code

    Opublikowany: 3.03.2017
  4. #100 Python past, present, and future with Guido van Rossum

    Opublikowany: 22.02.2017
  5. #99 Morepath: Super Powered Python Web Framework

    Opublikowany: 15.02.2017
  6. #98 Adding concurrency to Django with Django Channels

    Opublikowany: 8.02.2017
  7. #97 Flask, Django style with Flask-Diamond

    Opublikowany: 2.02.2017
  8. #96 Exploring Awesome Python

    Opublikowany: 25.01.2017
  9. #95 Grumpy: Running Python on Go

    Opublikowany: 18.01.2017
  10. #94 Guarenteed packages via Conda and Conda-Forge

    Opublikowany: 11.01.2017
  11. #93 Spreading Python through the sciences with Software Carpentry

    Opublikowany: 3.01.2017
  12. #92 Bonus: Python Bytes Crossover: Python 3.6 is going to be awesome, Kite: your friendly co-developing AI

    Opublikowany: 29.12.2016
  13. #91 Top 10 Data Science Stories of 2016

    Opublikowany: 27.12.2016
  14. #90 Data Wrangling with Python

    Opublikowany: 21.12.2016
  15. #89 A conversation with the Chief Data Scientist of the United States

    Opublikowany: 15.12.2016
  16. #88 Lightweight Django

    Opublikowany: 6.12.2016
  17. #87 PonyORM: The most Pythonic ORM yet?

    Opublikowany: 29.11.2016
  18. #86 Python at StackOverflow

    Opublikowany: 24.11.2016
  19. #85 Parsing horrible things with Python

    Opublikowany: 17.11.2016
  20. #84 Are we failing to fund Python's core infrastructure?

    Opublikowany: 8.11.2016

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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