This talk summarizes software-engineering best-practices when creating a production-level data-driven application. It is language and technology agnostic and presents structured tips on how to minimize maintenance and speed up time-to-market for data-science/data-driven projects.
Latest slide deck here: http://talks.marcel.is/hugcz2017-sebp
Video from PyData Warsaw is on YouTube:
@mkrcah helped us bring our 880+ member #bigdata #cshug community to life some 2 years ago. Tonight, he presents on Software engineering best practices. Thanks! Join us too at https://t.co/6f0JZBHdOB pic.twitter.com/UEr94VPDma— Ataccama (@ataccama) November 23, 2017
useful tips! https://t.co/SeWapQ314g— Paola Masuzzo (@pcmasuzzo) October 25, 2017
Excellent presentation: "From a model to production code like a Pro" https://t.co/QaTJkC5B0r— Dirk Mueller (@dirkmueller8) October 21, 2017
I agree! Reminded me of The Joel Test. https://t.co/EayoBaTqtJ— Jan Waś (@n1neinchnick) October 20, 2017