This tutorial was delivered at the Scientific Computing with Python, SciPy Conference, 2014 in Austin Texas, USA on July 7th, 2014.
This tutorial will train reproducible research warriors on the practices and tools that make experimental verification possible with an end-to-end data analysis workflow. The tutorial will expose attendees to open science methods during data gathering, storage, analysis up to publication into a reproducible article. Attendees are expected to have basic familiarity with scientific Python and Git.