Jupyter Notebook is a web based interface that allows users to create and share documents that contain a combination of live code, text and visualizations. Notebooks are great for building integrated reports and educational uses where interleaving code and descriptive text is useful.
In addition to R and Python kernels, HCC now offers SAS, Julia, MATLAB and TensorFlow (for both Python 2.7 and 3.6) via the Jupyter Notebook interface for Crane.
To access HCC's JupyterHub instance please visit http://crane.unl.edu and login with your HCC credentials.
For more information on using Jupyter Notebooks, please see the documentation at http://jupyter.org/
Any questions or feedback are welcome at hcc-support@unl.edu
More details at: http://crane.unl.edu