%pip-installed module requires different python to that that conda installed in jupyterhub environment

[manics]

Your singleuser environment can be separate from your hub environment, and you can also have multiple kernels in different Python environments, all accessible from the same singleuser server.

This is a good explanation:

Multiple Conda Environments

The main thing is that the user environment at /opt/tljh/user is a conda env, so you can use sudo /opt/tljh/user/bin/conda to perform operations that will be shared by users. Is this possible? Yes, indeed, you can do this. Once things are set up, you can create environments, e.g. (e.g. creating new shared envs): sudo /opt/tljh/user/bin/conda create -n env-name python=3.10 ipykernel [more packages] To make it a kernel, you need to make sure the ipykernel package is in the env (assuming yo…