HOWTO: Use a Conda Environment With Jupyter

Conda environments must be installed on Jupyter notebooks prior to use. Whereas older versions of Conda automatically installed a Jupyter kernel, users must now manually perform the installation process.

To perform the installation, users should load the preferred version of Python, activate the Conda environment and run the following commands.

See create conda environment if there is not already an environment that has been created.
module load python             # change to the proper version of python
MYENV='useful-project-name'    # replace with the name of conda env
source activate "$MYENV"
python -m ipykernel install --user --name "$MYENV" --display-name "Python ($MYENV)"

If the envirnoment is rebuilt or renamed, users may want to erase any custom jupyter kernel installations.

Be careful! This command will erase entire directories and all files within them.
rm -rf ~/.local/share/jupyter/kernels/$(MYENV)