Posts tagged kernels
How to install R packages in different locations?
- 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 $HOME
e.g. ~/R/libs
How to install jupyter kernel for Matlab
- 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
How to re-enable the deprecated python kernels?
- 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.
Requested MovieWriter (ffmpeg) not available
- 06 May 2021
Requested MovieWriter (ffmpeg) not available
conda env with ffmpeg
and ipykernel
Create a kernel from your own Julia installation
- 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:
Python environment locations
- 04 March 2021
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:
Enable NCL Kernel in Jupyterhub
- 05 November 2020
Can’t use NCL (Python) as kernel in Jupyter
This tutorial won’t work
FileNotFoundError: [Errno 2] No such file or directory
- 07 October 2020
See Wrapper packages here.
you: