Jupyter is installed in most of the python modules. To make use of it you would do something like:

jupyter-notebook

However using it effectively on the cluster is a bit more complicated…

After Logging in your account check for your preferred python version as follows:

module avail 2>&1 | grep python

Now proceed to request for an interactive compute node where a configuration file and security measures will be established. A single core on an interactive node has proven sufficient for this exercise. Request an arbitrary interactive compute node as follows:

qsub -I -P PROJ0101 -q serial -l select=1:ncpus=1:mpiprocs=1:nodetype=haswell_reg

Note:

1. “PROJ0101” is an arbitrary project name, kindly use your research project's shortname e.g. ERTH0859
   
2. Record the cnode ID because you will ssh into that particular compute node when setting up your password.
3. Advanced interactive node settings are found here: Example interactive job request.

Then load the preferred python module as follows:

module add chpc/python/3.6.0_gcc-6.3.0