Talk Python To Me

Een podcast door Michael Kennedy (@mkennedy)

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479 Afleveringen

  1. #158 Quantum Computing and Python

    Gepubliceerd: 20-4-2018
  2. #157 The Journal of Open Source Software

    Gepubliceerd: 6-4-2018
  3. #156 Python History and Perspectives

    Gepubliceerd: 24-3-2018
  4. #155 Practical steps for moving to Python 3

    Gepubliceerd: 16-3-2018
  5. #154 Python in Biology and Genomics

    Gepubliceerd: 7-3-2018
  6. #153 How Python Evolves

    Gepubliceerd: 1-3-2018
  7. #152 Understanding and using Python's AST

    Gepubliceerd: 23-2-2018
  8. #151 Gradual Typing of Production Applications

    Gepubliceerd: 16-2-2018
  9. #150 Technical Lessons Learned from Pythonic Refactoring

    Gepubliceerd: 8-2-2018
  10. #149 4 Python Web Frameworks, Compared

    Gepubliceerd: 2-2-2018
  11. #148 Python Book Authors' Panel Discussion

    Gepubliceerd: 28-1-2018
  12. #147 Quart: Flask, but 3x faster

    Gepubliceerd: 19-1-2018
  13. #146 Building Alexa Skills with Python and Flask

    Gepubliceerd: 11-1-2018
  14. #145 2017 Python Year in Review

    Gepubliceerd: 31-12-2017
  15. #144 Machine Learning at the Large Hadron Collider

    Gepubliceerd: 26-12-2017
  16. #143 Tuning Python Web App Performance

    Gepubliceerd: 20-12-2017
  17. #142 Automating the web with Selenium and InstaPy

    Gepubliceerd: 13-12-2017
  18. #141 Python tricks

    Gepubliceerd: 7-12-2017
  19. #140 Level up your Python with #100DaysOfCode challenge

    Gepubliceerd: 29-11-2017
  20. #139 Paths into a data science career

    Gepubliceerd: 22-11-2017

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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