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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How to re-enable the deprecated python kernels?

Within the maintenance of Monday, May 15th, we will perform updates in our python installations (please see the details here).

Since the jupyterhub kernels are based on modules, the deprecated kernels will no longer be available as default kernels in jupyter notebooks/labs.

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Requested MovieWriter (ffmpeg) not available

Requested MovieWriter (ffmpeg) not available

conda env with ffmpeg and ipykernel

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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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FileNotFoundError: [Errno 2] No such file or directory

See Wrapper packages here.

you:

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