Talk Python To Me

En podkast av Michael Kennedy (@mkennedy)

Kategorier:

479 Episoder

  1. #118 Serverless software

    Publisert: 27.6.2017
  2. #117 Functional Python with Coconut

    Publisert: 21.6.2017
  3. #116 10 top talks of PyCon 2017 reviewed

    Publisert: 12.6.2017
  4. #115 Python for Humans projects

    Publisert: 8.6.2017
  5. #114 Empowering developers at the Hidden Genius project

    Publisert: 30.5.2017
  6. #113 Dedicated AI chips and running old Python faster at Intel

    Publisert: 27.5.2017
  7. #112 Geeking out in the golden years

    Publisert: 18.5.2017
  8. #111 Pythonic Career Advice and More

    Publisert: 13.5.2017
  9. #110 Data Democratization with Redash

    Publisert: 2.5.2017
  10. #109 MongoDB Applied Design Patterns

    Publisert: 29.4.2017
  11. #108 MicroPython and Open Source Hardware at Adafruit

    Publisert: 21.4.2017
  12. #107 Python concurrency with Curio

    Publisert: 15.4.2017
  13. #106 Invent your own computer games with Python

    Publisert: 7.4.2017
  14. #105 A Pythonic Database Tour

    Publisert: 27.3.2017
  15. #104 Game Theory in Python

    Publisert: 23.3.2017
  16. #103 Compiling Python through PyLLVM and MongoDB for Data Scientists

    Publisert: 16.3.2017
  17. #102 Effective Code Reviews

    Publisert: 8.3.2017
  18. #101 Adding a full featured Python environment to Visual Studio Code

    Publisert: 3.3.2017
  19. #100 Python past, present, and future with Guido van Rossum

    Publisert: 22.2.2017
  20. #99 Morepath: Super Powered Python Web Framework

    Publisert: 15.2.2017

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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