Talk Python To Me

En podkast av Michael Kennedy (@mkennedy)

Kategorier:

479 Episoder

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

    Publisert: 10.5.2016
  2. #57 Python performance from the inside-out at Intel

    Publisert: 5.5.2016
  3. #56 Data Science from Scratch

    Publisert: 27.4.2016
  4. #55 How our engineering environments are killing diversity (and how we can fix it)

    Publisert: 21.4.2016
  5. #54 Enterprise Software with Python

    Publisert: 14.4.2016
  6. #53 Python in Visual Studio

    Publisert: 6.4.2016
  7. #52 EVE Online: MMO game powered by Python

    Publisert: 27.3.2016
  8. #51 SigOpt: Optimizing Everything with Python

    Publisert: 21.3.2016
  9. #50 Web scraping at scale with Scrapy and ScrapingHub

    Publisert: 15.3.2016
  10. #49 Microsoft's JIT-based Python Project: Pyjion

    Publisert: 8.3.2016
  11. #48 Building Flask-based Web Apps

    Publisert: 1.3.2016
  12. #47 Python in Typeface and Font Development

    Publisert: 23.2.2016
  13. #46 Python in Movies and Entertainment

    Publisert: 16.2.2016
  14. #45 The Python Testing Column, Now a Thing

    Publisert: 9.2.2016
  15. #44 Project Jupyter and IPython

    Publisert: 2.2.2016
  16. #43 Monitoring high performance Python apps at Opbeat

    Publisert: 26.1.2016
  17. #42 Python in Startups and Investing

    Publisert: 19.1.2016
  18. #41 Getting your first dev job as a Python developer (part 2)

    Publisert: 12.1.2016
  19. #40 Top 10 Data Science Stories from 2015

    Publisert: 29.12.2015
  20. #39 Getting your first dev job as a Python developer (part 1)

    Publisert: 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