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[Talk] From a model to production like a Pro: Software-engineering best-practices

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.

I gave this talk at PyData Warsaw 2017, Prague Hadoop Meetup 2017 and internally for a few clients. I love giving this talk, so if you are interested, please ping me via email.

Slides & Video

Latest slide deck here: http://talks.marcel.is/hugcz2017-sebp

Video from PyData Warsaw is on YouTube:

Slide-deck updates

  • November 2017: Added more tips on functional programming, feature-packaging and dockerizing trained models