Posts tagged kernels

How to install R packages in different locations?

The default location for R packages is not writable and you can not install new packages. On demand we install new packages system-wide and for all users. However, it possible to install packages in different locations than root and here are the steps:

create a directory in $HOME e.g. ~/R/libs

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How to install jupyter kernel for Matlab

In this tutorial, I will describe i) the steps to create a kernel for Matlab and ii) get the matlab_kernel working in Jupyterhub on Levante.

conda environment with python 3.9

../../_images/matlab.png

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Requested MovieWriter (ffmpeg) not available

Requested MovieWriter (ffmpeg) not available

conda env with ffmpeg and ipykernel

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How to containerIze your jupyter kernel?

Containers are not supported on Levante at this point.

We have seen in this blog post how to encapsulate a jupyter notebook (server) in a singularity container . In this tutorial, I am going to describe how you can run a jupyter kernel in a container and make it available in the jupyter*.

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Create a kernel from your own Julia installation

We already provide a kernel for Julia based on the module julia/1.7.0.

In order to use it, you only need to install ÌJulia:

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Python environment locations

Kernels are based on python environments created with conda, virtualenv or other package manager. In some cases, the size of the environment can tremendously grow depending on the installed packages. The default location for python files is the $HOME directory. In this case, it will quickly fill your quota. In order to avoid this, we suggest that you create/store python files in other directories of the filesystem on Levante.

The following are two alternative locations where you can create your Python environment:

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Enable NCL Kernel in Jupyterhub

Can’t use NCL (Python) as kernel in Jupyter

This tutorial won’t work

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