Support for Jupyter Notebooks Added to CARC OnDemand
Notebooks can be used for numerical simulation, statistical modeling, data visualization, machine learning, and more
By Andrea Renney
JupyterLab is a web-based user interface that enables you to work with documents and activities such as Jupyter notebooks, text editors, terminals, and custom components in a flexible, integrated, and extensible manner. Jupyter notebooks are documents that combine live runnable code with narrative text (Markdown), equations (LaTeX), images, interactive visualizations, and other rich output. Notebooks can be used for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and more.
You can find instructions for using Jupyter on CARC OnDemand in our Getting Started with CARC OnDemand user guide.