Content with notebooks

You can also create content with Jupyter Notebooks. The content for the current page is contained in a Jupyter Notebook in the notebooks/ folder of the repository. This means that we can include code blocks and their outputs, and export them to Jekyll markdown.

You can find the original notebook for this page at this address

Markdown + notebooks

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

You an also $add_{math}$ and


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

Code blocks and image outputs

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

from matplotlib import rcParams, cycler
import matplotlib.pyplot as plt
import numpy as np
# Fixing random state for reproducibility

N = 10
data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]
data = np.array(data).T
cmap =
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']);


Note that the image above is captured and displayed by Jekyll.

Removing content before publishing

You can also remove some content before publishing your book to the web. For example, in the original notebook there used to be a cell below…

You can also remove only the code so that images and other output still show up.

Below we’ll only display an image. It was generated with Python code in a cell, which you can see in the original notebook


And here we’ll only display a Pandas DataFrame. Again, this was generated with Python code from this original notebook.

Word A Word B
0 hi there
1 this is
2 a DataFrame

You can configure the text that Textbooks with Jupyter uses for this by modifying your site’s _config.yml file.

Interactive outputs

We can even do the same for interactive material. Below we’ll display a map using ipyleaflet. When the notebook is converted to Markdown, the code for creating the interactive map is retained.

Note that this will only work for some packages. They need to be able to output standalone HTML/Javascript, and not depend on an underlying Python kernel to work.

import folium
m = folium.Map(
    location=[45.372, -121.6972],
    tiles='Stamen Terrain'

    location=[45.3288, -121.6625],
    popup='Mt. Hood Meadows',

    location=[45.3311, -121.7113],
    popup='Timberline Lodge',

    location=[45.3300, -121.6823],
    popup='Some Other Location',
    icon=folium.Icon(color='red', icon='info-sign')