... | ... | @@ -65,11 +65,11 @@ The installed kernels might not suite your needs and you want to switch to a dif |
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In that case you need to set up your own specialized Jupyter kernel (located in ''${HOME}/.local/share/jupyter/kernels/'').
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This can be done in the terminal in a few steps on the supercomputer:
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1. LOAD the modules you need
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* start with ''module --force purge'' to remove any module which is already loaded
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* start with ''module purge'' to remove any module which is already loaded
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* ensure this includes a recent Python 3.x (even if you are not planing to use Python)
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* example:
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```shell
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module --force purge
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module purge
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module use /usr/local/software/jureca/OtherStages
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module load Stages/Devel-2018a
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module load GCCcore/.5.5.0
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... | ... | @@ -123,7 +123,7 @@ Now, modify this basic jupyter kernel to suite your needs. |
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```shell
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#!/usr/bin/env bash
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module --force purge
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module purge
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module load Stages/Devel-2018a
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module load GCCcore/.5.5.0
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module load Jupyter
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... | ... | |