Tutorial on reproducible research at SciPy 2014.
This hands-on 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.
- Aashish Chaudhary
- Ana Nelson
- Jean-Christophe Fillion-Robin
- Luis Ibanez
- Matt McCormick
- Steve Smith
The tutorial will cover four hours, but preparation is required.