[Pycon] [new paper] "Max Humber" - Data Engineering for Data Scientists

[info a pycon.it]

Title: Data Engineering for Data Scientists
Duration: 45 (includes Q&A)
Q&A Session: 15
Language: en
Type: Talk

Abstract: When models and data applications are pushed to production, they become brittle black boxes (that can and will break). In Data Engineering for Data Scientists you’ll learn about how to 1-up your data science workflow with a little engineering! Or more specifically, about how to to improve the reliability and quality of your data applications. All so that your models won’t break (or at least won’t break as often)!

Examples for this session will be in 3.6+ and will rely on: logging to allow us to debug and diagnose things while they’re running, click to develop “beautiful” command line interfaces with minimal boiler-plating, and pytest to write short, elegant and maintainable tests. 


Tags: [u'machine-learning', u'data', u'data-science']