How do I create a custom conda environment in JupyterHub?

[rsignell-usgs]

To create a custom environment:

1. Ensure that nb_conda_kernels is installed in the base conda environment. If it's not, ask the JupyterHub provider to include it!

2. In JupyterHub, edit your ~/.condarc to specify a persisted directory (like /home/jovyan/my-conda-envs for your environments:

   channels:
   - conda-forge
   envs_dirs:
   - /home/jovyan/my-conda-envs

3. Create your custom environment including the ipykernel package:

   conda create   -n my_new_custom_env      my_package_1  my_package_2 ipykernel

Stop and start your server.

You should now be able to see your custom env on the kernel pick list:

[ColinTalbert]

Worked perfectly!

[dnowacki-usgs]

Thanks Rich! The create line should read: conda create -n my_custom_env my_package1 mypackage2 ipykernel

[rsignell-usgs]

Thanks @dnoawcki-usgs! Corrected above!