Talk Python To Me

Un pódcast de Michael Kennedy (@mkennedy)

Categorías:

456 Episodo

  1. #275 Beautiful Pythonic Refactorings

    Publicado: 1/8/2020
  2. #274 Profiling data science code with FIL

    Publicado: 24/7/2020
  3. #273 CoCalc: A fully colloborative notebook development environment

    Publicado: 18/7/2020
  4. #272 No IoT things in hand? Simulate them with Device Simulator Express

    Publicado: 12/7/2020
  5. #271 Unlock the mysteries of time, Python's datetime that is!

    Publicado: 4/7/2020
  6. #270 Python in supply chains: oil rigs, rockets, and lettuce

    Publicado: 25/6/2020
  7. #269 HoloViz - a suite of tools for Python visualization

    Publicado: 19/6/2020
  8. #268 Analyzing dozens of notebook environments

    Publicado: 13/6/2020
  9. #267 15 amazing pytest plugins

    Publicado: 6/6/2020
  10. #266 Refactoring your code, like magic with Sourcery

    Publicado: 29/5/2020
  11. #265 Why is Python slow?

    Publicado: 19/5/2020
  12. #264 10 tips every Flask developer should know

    Publicado: 12/5/2020
  13. #263 SEO for developers

    Publicado: 6/5/2020
  14. #262 Build a career in data science

    Publicado: 1/5/2020
  15. #261 Monitoring and auditing machine learning

    Publicado: 25/4/2020
  16. #260 From basic script to interactive data sci app with Streamlit

    Publicado: 18/4/2020
  17. #259 From Academia to Tech Industry and Python

    Publicado: 9/4/2020
  18. #258 Thriving in a remote developer environment

    Publicado: 4/4/2020
  19. #257 Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy

    Publicado: 28/3/2020
  20. #256 Click to run your notebook with Binder

    Publicado: 20/3/2020

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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