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docs/extra/conda.rst

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@@ -105,13 +105,13 @@ Using Conda
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.. prompt:: bash $
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conda create --name python36-env python=3.6 numpy=1.13.1 matplotlib=2.2.2
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.. admonition:: The ``mamba`` alternative
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:class: dropdown
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- ``mamba`` is a fast drop-in alternative to conda, using "libsolv" for dependency resolution. It is available from the ``conda`` module.
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- Example:
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.. prompt:: bash $
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mamba create --name python37-env python=3.7 numpy=1.13.1 matplotlib=2.2.2

docs/extra/jupyterHPC2N.rst

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@@ -24,7 +24,7 @@ for a specific <version> to see which prerequisites should be loaded first.
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Something like the file below will work. Remember to change the project id after the course, how many cores you need, and how long you want the JupyterLab to be available:
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.. code-block:: slurm
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#!/bin/bash
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#SBATCH -A hpc2n2025-151
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# This example asks for 1 core
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8. Now make a submit file as before. Something like this should work:
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.. code-block:: sh
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#!/bin/bash
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#SBATCH -A hpc2n2025-151
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# Here allocating 1 core - change as suitable for your case

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