# Content with notebooks — AReaL Documentation

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# Content with notebooks

You can also create content with Jupyter Notebooks. This means that you can include code blocks and their outputs in your book.

## Markdown + notebooks

As it is markdown, you can embed images, HTML, etc into your posts!

You can also \(add_{math}\) and

\[ math^{blocks} \]

or

\[\begin{split} \begin{aligned} \mbox{mean} la_{tex} \\ \\ math blocks \end{aligned} \end{split}\]

But make sure you $Escape $your $dollar signs $you want to keep!

## MyST markdown

MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check out the MyST guide in Jupyter Book, or see the MyST markdown documentation.

## Code blocks and outputs

Jupyter Book will also embed your code blocks and output in your book. For example, here’s some sample Matplotlib code:

    from matplotlib import rcParams, cycler
    import matplotlib.pyplot as plt
    import numpy as np
    plt.ion()

    <contextlib.ExitStack at 0x1fbf6bdf9b0>

    # Fixing random state for reproducibility
    np.random.seed(19680801)

    N = 10
    data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]
    data = np.array(data).T
    cmap = plt.cm.coolwarm
    rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))

    from matplotlib.lines import Line2D
    custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),
                    Line2D([0], [0], color=cmap(.5), lw=4),
                    Line2D([0], [0], color=cmap(1.), lw=4)]

    fig, ax = plt.subplots(figsize=(10, 5))
    lines = ax.plot(data)
    ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);

There is a lot more that you can do with outputs (such as including interactive outputs) with your book. For more information about this, see the Jupyter Book documentation