Usage

Launch the Jupyter notebook with jupyter notebook or Jupyter lab with jupyter lab and launch a new Python notebook by selecting the xoctave kernel.

Code completion

Code inspection and contextual help

Stream support

Visualisation

Graphical toolkit

Xeus Octave comes with two Ocatve graphical toolkit for rendering plots.

Notebook toolkit

The notebook toolkit renders plots as inline images in the notebook. The render is done natively using OpenGL on the kernel side. Select this toolkit using graphics_toolkit notebook in the notebook.

Plotly toolkit

The experimental plotly toolkit calls Plotly web API to render plot as interactive HTML elements, with zoom, cursors, and hover tooltips. Select this toolkit using graphics_toolkit plotly in the notebook.

With Jupyter lab, the plotly extension is also needed. It can be installed with conda/mamba (or pip)

mamba install -c conda-forge jupyterlab plotly ipywidgets jupyter-dash

The extension is already provided with Nteract.

See Plotly documentation for detailed instructions and troubleshooting.

Other

Rich display of tables

Rich display of structs

Rich display of LaTeX equations

$Rich display of LaTeX equations$