Computational Tutorial: Better Science Code
Description
This computational tutorial will focus on best coding practices to make your code reusable, sharable, and bug free. We will highlight documentation, version control, and unit testing. We will have hands on exercises, so bring a computer to follow along!
RSVP here: https://docs.google.com/forms/d/e/1FAIpQLScH4vo7glUGvtg06GSIh1Xrsby3NCE…
References for the tutorial can be found here: https://github.com/edeno/Better-Science-Code
After the tutorial, 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
Speaker Bio
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.