Talk Python To Me

En podcast av Michael Kennedy

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493 Avsnitt

  1. #252 What scientific computing can learn from CS

    Publicerades: 2020-02-21
  2. #251 Building and UX Testing Azure's Python SDK

    Publicerades: 2020-02-13
  3. #250 Capture over 400x C02 as trees with AI and Python

    Publicerades: 2020-02-08
  4. #249 Capture the Staff of Pythonic Knowledge in TwilioQuest

    Publicerades: 2020-01-30
  5. #248 Climate change and your Python code

    Publicerades: 2020-01-24
  6. #247 Solo maintainer of open-source in academia

    Publicerades: 2020-01-16
  7. #246 Practices of the Python Pro

    Publicerades: 2020-01-09
  8. #245 Python packaging landscape in 2020

    Publicerades: 2020-01-03
  9. #244 Top 10 Real Python Articles of 2019

    Publicerades: 2019-12-27
  10. #243 Python on Windows is OK, actually

    Publicerades: 2019-12-17
  11. #242 Your education will be live-streamed

    Publicerades: 2019-12-11
  12. #241 Opal: Full stack health care apps

    Publicerades: 2019-12-07
  13. #240 A guided tour of the CPython source code

    Publicerades: 2019-11-27
  14. #239 Bayesian foundations

    Publicerades: 2019-11-23
  15. #238 Collaborative data science with Gigantum

    Publicerades: 2019-11-14
  16. #237 A gut feeling about Python

    Publicerades: 2019-11-06
  17. #236 Scaling data science across Python and R

    Publicerades: 2019-10-29
  18. #235 Python in your Browser with Skulpt

    Publicerades: 2019-10-23
  19. #234 Awesome Python Applications

    Publicerades: 2019-10-15
  20. #233 The Masonite Python Web Framework

    Publicerades: 2019-10-10

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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