Python environments

PLACEHOLDER

Basic kernel management on the SMCE via the SHIFT SMCE documentation

**NOTE: **The default location for new conda environments in the Airborne SMCE is: ${HOME}/user_envs

Example 1: Setting up a basic geospatial environment

Working directory: ${HOME}/Github/airborne-smce-environments/python/pygeo

conda env create --file pygeo.yml

This will create a new conda environment called pygeo

To make this new kernel available in your jupyter-hub environment, you can run:

python -m ipykernel install --user --name=pygeo

Example 2: Setting up the HYR-SENSE environment