Better Science Code (43:43)
- Computational Tutorials
This tutorial focuses on best coding practices to develop code that is reusable, sharable, and bug free. It highlights issues such as documentation, version control, and unit testing, through hands-on computer exercises.
Taught by: Eric Denovellis, Boston University
References for the tutorial can be found here: https://github.com/edeno/Better-Science-Code
Slides and resources will be posted on the computational tutorials stellar page.
slides, references, and exercises: https://stellar.mit.edu/S/project/bcs-comp-tut/materials.html
videos: http://cbmm.mit.edu/videos?field_video_grouping_tid[0]=781
Eric Denovellis is a postdoctoral researcher in the BU Math & Statistics Department, working with Mark Kramer and Uri Eden. He received his Ph.D. in Computational Neuroscience from BU and is currently developing statistical methods (and code) for electrophysiological data.