Summary
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.
Body
This tutorial shows step by step how to create a conda environment for Jupyter Notebook OnDemand.
Step 1
Log in to the Grid. Start an interactive job: srun -q primary -N 1 -n 8 --mem 4G -t 10:00:00 --pty bash
Step 2
After being assigned a node, run the following: ml python/3.7
Type: conda create -n myenv
Enter y to proceed.
Step 3
After the environment is created, it can be activated.
Type: conda activate myenv
Step 4
Install the packages pip and ipykernel.
Type: conda install pip ipykernel
Step 5
Next, you can create a visible kernel for your conda environment.
Type: python -m ipykernel install --user --name myenv --display-name "Python (myenv)"
Now the environment will be available within Jupyter Notebook on OnDemand.