Documenting Analysis with Jupyter Lab
About this Class
This class will introduce beginners or those looking for a refresher to Jupyter Lab, a platform used to organize code and analysis steps in one place. Jupyter Lab can be easily installed or run in a web browser, and supports several languages such as R and Python. It provides a way to keep track of all steps in an analysis and a place for collaboration. This class will not be hands-on and is a demo only. Experience using or installation onto personal computer of Jupyter Lab is not needed to attend. This is for NIH audience only and meeting link will be sent upon registration.
Register at: https://cbiit.webex.com/weblink/register/re16ac11f4d295ca6f9c6cd061790316c