Talk Python To Me

Un pódcast de Michael Kennedy

Categorías:

494 Episodo

  1. #113 Dedicated AI chips and running old Python faster at Intel

    Publicado: 27/5/2017
  2. #112 Geeking out in the golden years

    Publicado: 18/5/2017
  3. #111 Pythonic Career Advice and More

    Publicado: 13/5/2017
  4. #110 Data Democratization with Redash

    Publicado: 2/5/2017
  5. #109 MongoDB Applied Design Patterns

    Publicado: 29/4/2017
  6. #108 MicroPython and Open Source Hardware at Adafruit

    Publicado: 21/4/2017
  7. #107 Python concurrency with Curio

    Publicado: 15/4/2017
  8. #106 Invent your own computer games with Python

    Publicado: 7/4/2017
  9. #105 A Pythonic Database Tour

    Publicado: 27/3/2017
  10. #104 Game Theory in Python

    Publicado: 23/3/2017
  11. #103 Compiling Python through PyLLVM and MongoDB for Data Scientists

    Publicado: 16/3/2017
  12. #102 Effective Code Reviews

    Publicado: 8/3/2017
  13. #101 Adding a full featured Python environment to Visual Studio Code

    Publicado: 3/3/2017
  14. #100 Python past, present, and future with Guido van Rossum

    Publicado: 22/2/2017
  15. #99 Morepath: Super Powered Python Web Framework

    Publicado: 15/2/2017
  16. #98 Adding concurrency to Django with Django Channels

    Publicado: 8/2/2017
  17. #97 Flask, Django style with Flask-Diamond

    Publicado: 2/2/2017
  18. #96 Exploring Awesome Python

    Publicado: 25/1/2017
  19. #95 Grumpy: Running Python on Go

    Publicado: 18/1/2017
  20. #94 Guarenteed packages via Conda and Conda-Forge

    Publicado: 11/1/2017

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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