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JupyterHub for Teaching

For teaching purpose, a dedicated jupyterhub is available at

Server resources

A Dedicated baremetal server hosted in IPSL polytechnique datacenter hosts the jupyterhub.


The server is not connected to IPSL datbases (/bdd) to improve resilience of the service in case of storage failures or problems.

  • 64 cores
  • 256 GB of RAM
  • 7TB of storage
    • 4TB for users homes
    • 3TB for shared data


Each user is allows to store in its home directory:

  • 20 GB
  • 20000 files.

Access to the server

The server is accessible from internet. To connect to it you need a dedicated login/server.

For teachers

Send an email to meso-support to get an account.

For students


Account creation requests should be made at most 2 weeks before the start of the course.

Teachers need to provide the elements below in an excel sheet with 3 columns:

  • firstname
  • lastname
  • email

When requesting account creation you also need to provide the date of end of validity for accounts

A form should be soon available on espri website to ease the process.

Then send the file to meso-support.

Available modules

The jupyterhub for teaching gives access to all modules environments available on spirit/spiritx clusters. For more details see here.

To view the full list of available modules run the command module avail.

Available environments in notebook


Default environment is based on python 3.9 and pangeo recommanded packages.

A detailled list of python package is available here.


The server use the same R environment as the one available as module on IPSL clusters and described here.

If packages are missing for your training session, we can try to install them upon request.


This xeus-cling jupyter kernel allows to do interactive C/C++.

More informations are available here

Available environments in jupyterlab editor and terminal

You can use jupyter editor and terminal to use and develop code in compiled languages (C/C++, fortran, ...)


By default gfortran 9 is available. Using available module command you can use gfortran v10 and v11, intel fortran compiler v19 and v2021 and nvfortran v20 and v21.


By default gcc v9 is available. Using available module command you can use gcc v10 and v11, intel compiler v19 and v2021 and nvcc v20 and v21.

Uploading data on jupyterhub

The server is not accessible through ssh.

Using JupyterLab interface

Steps to upload your data:

  • Zip or tar your the data/notebooks you want to upload (not possible with .rar files). For example:
Zip your data
zip -r my_data_directory


Tar your data
tar -czvf my_data.tar.gz my_data_directory
  • Upload your data using JupyterLab

    jupyterlab upload button

  • Open a terminal on the jupyterlab

    jupyterlab open terminal

  • if you want to share the data with students, uncompress them to /data directory

Create a directory in /data
mkdir /data/my_tp
unzip in your directory
unzip -d /data/my_tp


untar in your directory
tar -xvzf my_data.tar.gz -C /data/my_tp
  • To prevent students from deleting your files, change the permissions of the directory
Change permissions
chmod -R go+r-w /data/my_tp