Jupyter is a web-based interactive environment for notebook and code development commonly used for data analytics using Python, R, Julia, etc. This presentation will demonstrate creating and using notebooks; loading and unloading software modules; interactive computing with supported languages, e.g., Python, R, Julia, and C++.
This presentation will take place on Thursday, June 2 from 12:00 PM to 1:00 PM EDT.
Registration opens: May 16, 2022 at 12:00 PM EDT
- Teacher: Paul Preney
- Teacher: Jinhui Qin