Custom Environments

Utility Commands for Custom Kernels

After loading an environment

List your current kernels

Remove a kernel

Custom Python Environments in Jupyter

Load the desired version of python

Create a directory for your desired environment:

Once you are in the environment, install ipykernel with the following command:

Add the environment to your jupyter kernels:

Follow the instructions to launch jupyter. You should now be able to select the environment we just added:

Open

Custom Conda Environments in Jupyter

For information on how to create custom conda environments, please visit our guide:

Miniconda Environment Set Up - Storrs HPC - UConn Knowledge Base

Begin by activating/creating your desired environment:

Once you are in the environment, install ipykernel with the following command:

Add the environment to your jupyter kernels:

Follow the instructions to launch jupyter. You should now be able to select the environment we just added:

Open