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Jupyter allows you to work with your own environment. You can use e.g. conda for this task. Start by creating a new conda environment:

Codeblock
module purge   ##just in case you are using jupyter terminal
module load Miniconda/3.1
conda create -p /gpfs/project/$USER/py310 python=3.10
conda activate /gpfs/project/$USER/py310

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Codeblock
cd /gpfs/project/$USER/py310
vi kernel.sh

Contents of the file kernel.sh:
Codeblock
 
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#!/bin/bash
export PYTHONHOMEPYTHONPATH=/gpfs/project/$USER/py310/lib/python3.10/site-packages
export PATH=/gpfs/project/$USER/py310/bin:$PATH
exec python -m ipykernel $@
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Make the file executable with

chmod a+x kernel.sh

Create a new directory for your kernel in your /home/.local/share folder

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