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pyslk is available on levante in the module python3/2022.01-gcc-11.2.0.

If you want to use pyslk in a personal conda environment on levante, please have a look for the conda package further below.

DKRZ Jupyter Hub

If you never used the DKRZ Jupyter Hub instance, please have a look into the documentation of this service to learn about the first steps: https://jupyterhub.gitlab-pages.dkrz.de/jupyterhub-docs/ .

common usage: using an existing kernel

Note from 2022-09-19: the default kernel mentioned below currently does not provide slk support. This will be fixed soon.

Please use the kernel Python3 (based on the module python3/2022.01) to have pyslk and slk available.

expert usage: set up your own kernel

If you want to run your own kernel, slk has to be available (pyslk just calls the command line interface slk) and you need a Python environment with install pyslk.

The PATH environment variable has to be set appropriately in order to make the slk available. E.g. do this first:

module load slk

You can then create your own kernel via”

python -m ipykernel install --name slk --display-name "hsm kernel" --env PATH $PATH --env JAVA_HOME $JAVA_HOME --user

Please note that the path of module might change when the module tree on Levante is re-created. If you experiance any issues which seem to be related to non-existing files, please re-created your kernel.



pyslk is no stand-alone-package. Instead, pyslk needs slk and slk_helpers to be installed. slk is only available on selected systems and not available for download.

PyPI/pip package

File: pyslk-1.2.1.tar.gz

pip install pyslk-1.2.1.tar.gz

Other releases

Several releases from version 0.3.3 onwards are available via a GitLab Package Registry (login with DKRZ account required):