Posts tagged kernels
- 25 October 2021
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
- 10 June 2021
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
- 16 May 2021
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.
- 06 May 2021
Requested MovieWriter (ffmpeg) not available
conda env with
- 04 May 2021
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*.
- 23 March 2021
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:
- 04 March 2021
Kernels are based on python environments created with
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:
- 05 November 2020
Can’t use NCL (Python) as kernel in Jupyter
This tutorial won’t work
- 07 October 2020