Execution Libraries

Many execution libraries can be used to display the output of IPyhton cells. We used MySTnb to parse and display the outputs presented in ./pydata. In this section we’ll show alternatives that runs code for you using a Jupyter like kernel.

Jupyterlite

Warning

The jupyterLite lib is not yet providing a handle to switch from light to dark theme. If you consider using it in your documentation you should also enforce the light theme to your users. Follow jupyterlite/jupyterlite-sphinx#69 for more information.

jupyterlite-sphinx brings the power of JupyterLite to your Sphinx documentation. It makes a full JupyterLite deployment in your docs and provide some utilities for using that deployment easily.

This section demonstrate how it displays in a pydata-sphinx-theme context:

jupyter-sphinx

Another common library is jupyter-sphinx. This section demonstrates a subset of functionality to make sure it behaves as expected.

import matplotlib.pyplot as plt
import numpy as np

rng = np.random.default_rng()
data = rng.standard_normal((3, 100))
fig, ax = plt.subplots()
ax.scatter(data[0], data[1], c=data[2], s=3)

<matplotlib.collections.PathCollection at 0x7f984704f890>