Talk Python To Me

Un pódcast de Michael Kennedy

Categorías:

486 Episodo

  1. #265 Why is Python slow?

    Publicado: 19/5/2020
  2. #264 10 tips every Flask developer should know

    Publicado: 12/5/2020
  3. #263 SEO for developers

    Publicado: 6/5/2020
  4. #262 Build a career in data science

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

    Publicado: 25/4/2020
  6. #260 From basic script to interactive data sci app with Streamlit

    Publicado: 18/4/2020
  7. #259 From Academia to Tech Industry and Python

    Publicado: 9/4/2020
  8. #258 Thriving in a remote developer environment

    Publicado: 4/4/2020
  9. #257 Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy

    Publicado: 28/3/2020
  10. #256 Click to run your notebook with Binder

    Publicado: 20/3/2020
  11. #255 Talking to cars with Python

    Publicado: 14/3/2020
  12. #254 A Python mentorship story

    Publicado: 6/3/2020
  13. #253 Moon base geekout

    Publicado: 25/2/2020
  14. #252 What scientific computing can learn from CS

    Publicado: 21/2/2020
  15. #251 Building and UX Testing Azure's Python SDK

    Publicado: 13/2/2020
  16. #250 Capture over 400x C02 as trees with AI and Python

    Publicado: 8/2/2020
  17. #249 Capture the Staff of Pythonic Knowledge in TwilioQuest

    Publicado: 30/1/2020
  18. #248 Climate change and your Python code

    Publicado: 24/1/2020
  19. #247 Solo maintainer of open-source in academia

    Publicado: 16/1/2020
  20. #246 Practices of the Python Pro

    Publicado: 9/1/2020

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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