An Octave kernel for Jupyter
To install via pip:
pip install octave_kernel
--user to install in your private environment.
To install via conda:
conda config --add channels conda-forge conda install octave_kernel
To use it, run one of:
jupyter notebook # In the notebook interface, select Octave from the 'New' menu jupyter qtconsole --kernel octave jupyter console --kernel octave
This is based on MetaKernel, which means it features a standard set of magics.
A sample notebook is available online.
You can specify the path to your Octave executable by creating an
OCTAVE_EXECUTABLE environment variable.
You can specify the path to the Octave kernel JSON file by creating an
OCTAVE_KERNEL_JSON environment variable.
You can also specify the command line options to Octave by creating an
OCTAVE_CLI_OPTIONS environment variable. The will be appended to the
default opions of
--interactive --quiet --no-init-file. Note that the
init file is explicitly called after the kernel has set
more off to prevent
a lockup when the pager is invoked in
Advanced Installation Notes::
We automatically install a Jupyter kernelspec when installing the
python package. This location can be found using
jupyter kernelspec list.
If the default location is not desired, you can remove the directory for the
octave kernel, and install using python -m octave_kernel install. See
python -m octave_kernel install --help for available options.