JupyterNotebook: Difference between revisions

It is possible to add kernels for other programmming languages or Python versions different than the one running the Jupyter Notebook. Refer to [http://jupyter-client.readthedocs.io/en/latest/kernels.html Making kernels for Jupyter] to learn more.

The installation of a new kernel is done in two steps.

#Installation of the packages that will allow the language interpreter to communicate with Jupyter Notebook.  

#Creation of a file that will indicate to Jupyter Notebook how to initiate a communication channel with the language interpreter. This file is called a ''kernel spec file''.

Each kernel spec file has to be created in its own subfolder inside a folder in your home directory with the following path <code> ~/.local/share/jupyter/kernels</code>. Jupyter Notebook does not create this folder, so the first step in all cases is to create it. You can use the following command.

{{Command|mkdir -p  ~/.local/share/jupyter/kernels}}

In the following sections, we provide a few examples of the kernel installation procedure.

'''Before installing an Anaconda kernel''', make sure you have read the documentation and installed [[Anaconda]].

# Load the Anaconda module. {{Command|module load miniconda3}}

# '''Optional''': Activate a specific conda virtual environment. {{Command|source activate <your env>}}

# '''Optional''': Deactivate the virtual environment. {{Command|source deactivate}}

For more information, see the [http://ipython.readthedocs.io/en/stable/install/kernel_install.html ipykernel documentation].

# Load the Julia module. {{Command|module load julia}}

# Activate the Jupyter Notebook virtual environment. {{Command|source $HOME/jupyter_py3/bin/activate}}

# Install IJulia. {{Command|echo 'Pkg.add("IJulia")' {{!}} julia}}

For more information, see the [https://github.com/JuliaLang/IJulia.jl IJulia documentation].

# Load the R module. {{Command|module load r}}

# Activate the Jupyter Notebook virtual environment. {{Command|source $HOME/jupyter_py3/bin/activate}}

# Install the R kernel spec file. {{Command|R -e "IRkernel::installspec()"}}

For more information, see the [https://irkernel.github.io/docs/ IRKernel documentation].

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