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You may also add those and other frequently accessed places to your favourites:
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Leveraging the ECMWF software stack: using modules
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Make sure you load the necessary modules BEFORE starting your kernels so they have the right environment. Loading modules after will not have any effect on existing kernels. |
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Using your own environments
To use your own conda environment as a kernel for Jupyter notebook you will need to have ipykernel installed in the conda environment before starting your Jupyter instance. ipykernel can be installed with:
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conda activate myCondaEnv
conda install ipykernel
python3 -m ipykernel install --user --name=myCondaEnv |
If you want to make your own Python virtual environment visible in Jupyterlab, the steps are similar:
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source myVenv/bin/activate
pip3 install ipykernel
python3 -m ipykernel install --user --name=myVenv |
To remove your personal kernels from Jupyterlab once you don't need them anymore, you could do so with:
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jupyter kernelspec uninstall myKernelName |