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This article guides users through launching a Jupyter Notebook session on WSU’s Grid OnDemand platform to run PySpark code.

This tutorial explains how to create and configure a conda environment for use with Jupyter Notebook OnDemand on the WSU Grid. Steps include starting an interactive job, creating and activating a conda environment, installing required packages (pip and ipykernel), and registering the environment as a visible kernel in Jupyter Notebook.

This article provides step-by-step guide on how to run Jupyter Notebook OnDemand