jupyterhub_integrations

Note: All of the steps below work only from a compute node.

Julia

(@v1.10) pkg> add IJulia

Refresh the JupyterHub browser session.

Maple

 source activate jupyter-conda-support
 cp -R /software/etc/maple ~/
 jupyter kernelspec install maple --user

This step above is optional. The centrally installed Maple kernelspec would always use the latest version of Maple. If you would like to use an older version, please follow the steps below.

  • Install the kernel spec with the steps above
  • Edit ~/.local/share/jupyter/kernels/maple/kernel.json and change the following -
  • Change display_name to match the old Maple version
  • Change installation path under argv to match the old Maple version
  • Refresh your JupyterHub browser session

R

Add the central package directory to R.

 .libPaths("/software/R-packages")

Matlab

Choose the correct environment based on the Matlab version.

Other available integrations
C++
GAP 4
Gnuplot
Macaulay2
Octave
Scilab
Sage
Singular
NCL

Notes

  • View CPU stats on the browser - Edit/Add the file ~/.jupyter/jupyter_notebook_config.py with the following contents
c = get_config()
c.ResourceUseDisplay.track_cpu_percent = True
jupyterhub_integrations.txt · Last modified: 2024/03/28 05:19 by pillai