Talk Python To Me

Un podcast de Michael Kennedy (@mkennedy)

Catégories:

479 Épisodes

  1. #58 Create better Python programs with concurrency, libraries, and patterns

    Publié: 10/05/2016
  2. #57 Python performance from the inside-out at Intel

    Publié: 05/05/2016
  3. #56 Data Science from Scratch

    Publié: 27/04/2016
  4. #55 How our engineering environments are killing diversity (and how we can fix it)

    Publié: 21/04/2016
  5. #54 Enterprise Software with Python

    Publié: 14/04/2016
  6. #53 Python in Visual Studio

    Publié: 06/04/2016
  7. #52 EVE Online: MMO game powered by Python

    Publié: 27/03/2016
  8. #51 SigOpt: Optimizing Everything with Python

    Publié: 21/03/2016
  9. #50 Web scraping at scale with Scrapy and ScrapingHub

    Publié: 15/03/2016
  10. #49 Microsoft's JIT-based Python Project: Pyjion

    Publié: 08/03/2016
  11. #48 Building Flask-based Web Apps

    Publié: 01/03/2016
  12. #47 Python in Typeface and Font Development

    Publié: 23/02/2016
  13. #46 Python in Movies and Entertainment

    Publié: 16/02/2016
  14. #45 The Python Testing Column, Now a Thing

    Publié: 09/02/2016
  15. #44 Project Jupyter and IPython

    Publié: 02/02/2016
  16. #43 Monitoring high performance Python apps at Opbeat

    Publié: 26/01/2016
  17. #42 Python in Startups and Investing

    Publié: 19/01/2016
  18. #41 Getting your first dev job as a Python developer (part 2)

    Publié: 12/01/2016
  19. #40 Top 10 Data Science Stories from 2015

    Publié: 29/12/2015
  20. #39 Getting your first dev job as a Python developer (part 1)

    Publié: 22/12/2015

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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.

Visit the podcast's native language site