Documenting Analysis with Jupyter Lab
When: Mar. 25th, 2026 2:00 pm - 3:00 pm
To Know
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.