Custom Environments

Utility Commands for Custom Kernels

After loading an environment

List your current kernels

jupyter kernelspec list

Remove a kernel

jupyter kernelspec uninstall {KERNEL_NAME}

Custom Python Environments in Jupyter

Load the desired version of python

module load python/3.10.5

Create a directory for your desired environment:

mkdir myenv
cd myenv
python -m venv .

. bin/activate

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

pip install ipykernel

Add the environment to your jupyter kernels:

python -m ipykernel install --user --name=myenv --display-name "myenv" --env PATH $PATH

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

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:

conda create -n myenv

conda activate myenv

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

conda install ipykernel

Add the environment to your jupyter kernels:

python -m ipykernel install --user --name=myenv --display-name "myenv" --env PATH $PATH

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