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A Jupyter kernel for Scilab.

Project description

A Jupyter kernel for Scilab

`Jupyter Notebook <>`_, and `Scilab <>`_.


pip install scilab_kernel

To use it, run one of:

.. code:: shell

ipython notebook
# In the notebook interface, select Scilab from the 'New' menu
ipython qtconsole --kernel scilab
ipython console --kernel scilab

This kernel is based on `MetaKernel <>`_,
which means it features a standard set of magics. For a full list of magics,
run ``%lsmagic`` in a cell.

A sample notebook is available online_.

You can specify the path to your Scilab executable by creating a ``SCILAB_EXECUTABLE`` environmental variable. Use the ``scilab-adv-cli`` executable if using a Posix-like OS, and ``WScilex-cli.exe`` if using Windows.

The kernel can be configured by adding an ```` file to the
``jupyter`` config path. The ``ScilabKernel`` class offers ``plot_settings`` as a configurable traits.
The available plot settings are:
'format', 'backend', 'width', 'height', and 'resolution'.

.. code:: bash
cat ~/.jupyter/
# use Qt as the default backend for plots
c.ScilabKernel.plot_settings = dict(format='svg')

If the kernel is not starting, try running the following from a terminal.

.. code
python -m scilab_kernel.check

Please include that output if opening an issue.

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
``scilab`` kernel, and install using `python -m scilab_kernel install`. See
``python -m scilab_kernel install --help`` for available options.

.. _online:

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