We recommend the installation of miniconda, choose the isntaller according to your machine specification and then launch it (no need for root priviledges).
Make sur the path to conda bin is exported (export PATH="/mnt/meom/workdir/albert/anaconda2/bin:$PATH" in your .bashrc for instance)
Create a conda environment, activate it and install all the libraries you will need :
conda create --name jupyter
conda activate jupyter
conda install numpy matplotlib netCDF4 jupyter jupyterlab xarray pandas dask ipykernel
Check the software page to see what library could fit your needs.
Anytime you need a new library, do :
conda activate jupyter
conda install newlib
You can create as many environment as you need, for different python version for instance :
conda create --name python36
conda activate python36
conda install python=3.6 numpy matplotlib netCDF4 jupyter jupyterlab xarray pandas dask ipykernel
Install the kernel in jupyter relative to the conda environment :
python -m ipykernel install --user --name jupyter --display-name jupyter
Go to your python scripts or notebooks repository and launch jupyter :
jupyter notebook
it will open a browser window and you will see the scripts of your repository.
You can open an existing notebook and select Noyau/Changer de noyau or Kernel/Switch Kernel and select jupyter as a kernel.
Now you can execute your notebook.
Add the path to your module :
import sys
YOUR_MODULE_PATH = '/path/to/your/module'
sys.path.append(YOUR_MODULE_PATH)
import yourmodule