Better Science Code

Better Science Code

Speaker: 

Eric Denovellis
  • Computational Tutorials

Date Posted: 

May 12, 2017

Date Recorded: 

May 10, 2017

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! 

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.