Talk Python To Me

A podcast by Michael Kennedy

Categorie:

486 Episodio

  1. #45 The Python Testing Column, Now a Thing

    Pubblicato: 09/02/2016
  2. #44 Project Jupyter and IPython

    Pubblicato: 02/02/2016
  3. #43 Monitoring high performance Python apps at Opbeat

    Pubblicato: 26/01/2016
  4. #42 Python in Startups and Investing

    Pubblicato: 19/01/2016
  5. #41 Getting your first dev job as a Python developer (part 2)

    Pubblicato: 12/01/2016
  6. #40 Top 10 Data Science Stories from 2015

    Pubblicato: 29/12/2015
  7. #39 Getting your first dev job as a Python developer (part 1)

    Pubblicato: 22/12/2015
  8. #38 Continuous Integration and Delivery at Codeship

    Pubblicato: 15/12/2015
  9. #37 Python Cybersecurity and Penetration Testing

    Pubblicato: 08/12/2015
  10. #36 Python IDEs with the PyCharm team

    Pubblicato: 01/12/2015
  11. #35 Turbogears and the future of Python web frameworks

    Pubblicato: 24/11/2015
  12. #34 Continuum: Scientific Python and The Business of Open Source

    Pubblicato: 17/11/2015
  13. #33 OpenStack: Cloud computing built on Python

    Pubblicato: 10/11/2015
  14. #32 PyPy.js - PyPy Python in Your Browser

    Pubblicato: 03/11/2015
  15. #31 Machine Learning with Python and scikit-learn

    Pubblicato: 27/10/2015
  16. #30 Python Community and Python at Dropbox

    Pubblicato: 20/10/2015
  17. #29 Python at the Large Hadron Collider and CERN

    Pubblicato: 13/10/2015
  18. #28 Making Python Fast: Profiling Python Code

    Pubblicato: 06/10/2015
  19. #27 Four Years of Python for High Schoolers

    Pubblicato: 29/09/2015
  20. #26 Deploying Python Web Applications (Updated)

    Pubblicato: 22/09/2015

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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