Talk Python To Me

Un pódcast de Michael Kennedy (@mkennedy)

Categorías:

456 Episodo

  1. #55 How our engineering environments are killing diversity (and how we can fix it)

    Publicado: 21/4/2016
  2. #54 Enterprise Software with Python

    Publicado: 14/4/2016
  3. #53 Python in Visual Studio

    Publicado: 6/4/2016
  4. #52 EVE Online: MMO game powered by Python

    Publicado: 27/3/2016
  5. #51 SigOpt: Optimizing Everything with Python

    Publicado: 21/3/2016
  6. #50 Web scraping at scale with Scrapy and ScrapingHub

    Publicado: 15/3/2016
  7. #49 Microsoft's JIT-based Python Project: Pyjion

    Publicado: 8/3/2016
  8. #48 Building Flask-based Web Apps

    Publicado: 1/3/2016
  9. #47 Python in Typeface and Font Development

    Publicado: 23/2/2016
  10. #46 Python in Movies and Entertainment

    Publicado: 16/2/2016
  11. #45 The Python Testing Column, Now a Thing

    Publicado: 9/2/2016
  12. #44 Project Jupyter and IPython

    Publicado: 2/2/2016
  13. #43 Monitoring high performance Python apps at Opbeat

    Publicado: 26/1/2016
  14. #42 Python in Startups and Investing

    Publicado: 19/1/2016
  15. #41 Getting your first dev job as a Python developer (part 2)

    Publicado: 12/1/2016
  16. #40 Top 10 Data Science Stories from 2015

    Publicado: 29/12/2015
  17. #39 Getting your first dev job as a Python developer (part 1)

    Publicado: 22/12/2015
  18. #38 Continuous Integration and Delivery at Codeship

    Publicado: 15/12/2015
  19. #37 Python Cybersecurity and Penetration Testing

    Publicado: 8/12/2015
  20. #36 Python IDEs with the PyCharm team

    Publicado: 1/12/2015

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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.

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