Using Jupyter Notebook Resources Overview

In addition to containers, Jupyter notebooks are often provided as the default method for sharing sample code and workflows in context of machine and deep learning applications.

To make these artifacts (among others) more easily shareable, Base Command Catalog Resources offer a way to version control and distribute these notebooks.

This tutorial will provide an example single system job to interact with Jupyter notebooks, along with an example showing how to navigate Catalog Resources and download a chosen resource directly to a running Base Command job.

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