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_build | ||
_autosummary |
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# Book settings | ||
# Learn more at https://jupyterbook.org/customize/config.html | ||
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title: My sample book | ||
author: The Jupyter Book Community | ||
logo: logo.png | ||
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# Force re-execution of notebooks on each build. | ||
# See https://jupyterbook.org/content/execute.html | ||
execute: | ||
execute_notebooks: force | ||
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# Define the name of the latex output file for PDF builds | ||
latex: | ||
latex_documents: | ||
targetname: book.tex | ||
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# Add a bibtex file so that we can create citations | ||
bibtex_bibfiles: | ||
- references.bib | ||
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# Information about where the book exists on the web | ||
repository: | ||
url: https://github.com/executablebooks/jupyter-book # Online location of your book | ||
path_to_book: . # Optional path to your book, relative to the repository root | ||
branch: master # Which branch of the repository should be used when creating links (optional) | ||
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# Add GitHub buttons to your book | ||
# See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository | ||
html: | ||
use_issues_button: true | ||
use_repository_button: true | ||
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# https://jupyterbook.org/en/stable/advanced/developers.html#api-reference-from-docstrings | ||
sphinx: | ||
extra_extensions: | ||
- sphinx.ext.autodoc | ||
- sphinx.ext.napoleon | ||
- sphinx.ext.viewcode | ||
- sphinx.ext.autosummary | ||
- sphinx_autodoc_typehints | ||
config: | ||
add_module_names: False | ||
autosummary_generate: True |
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# Table of contents | ||
# Learn more at https://jupyterbook.org/customize/toc.html | ||
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format: jb-book | ||
root: intro | ||
chapters: | ||
- file: api.rst | ||
- file: markdown | ||
- file: notebooks | ||
- file: markdown-notebooks |
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API documentation | ||
================= | ||
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.. autosummary:: | ||
:toctree: _autosummary | ||
:recursive: | ||
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mathpad |
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# Welcome to your Jupyter Book | ||
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This is a small sample book to give you a feel for how book content is | ||
structured. | ||
It shows off a few of the major file types, as well as some sample content. | ||
It does not go in-depth into any particular topic - check out [the Jupyter Book documentation](https://jupyterbook.org) for more information. | ||
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Check out the content pages bundled with this sample book to see more. | ||
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```{tableofcontents} | ||
``` |
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--- | ||
jupytext: | ||
formats: md:myst | ||
text_representation: | ||
extension: .md | ||
format_name: myst | ||
format_version: 0.13 | ||
jupytext_version: 1.11.5 | ||
kernelspec: | ||
display_name: Python 3 | ||
language: python | ||
name: python3 | ||
--- | ||
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# Notebooks with MyST Markdown | ||
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Jupyter Book also lets you write text-based notebooks using MyST Markdown. | ||
See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions. | ||
This page shows off a notebook written in MyST Markdown. | ||
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## An example cell | ||
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With MyST Markdown, you can define code cells with a directive like so: | ||
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```{code-cell} | ||
print(2 + 2) | ||
``` | ||
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When your book is built, the contents of any `{code-cell}` blocks will be | ||
executed with your default Jupyter kernel, and their outputs will be displayed | ||
in-line with the rest of your content. | ||
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```{seealso} | ||
Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html). | ||
``` | ||
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## Create a notebook with MyST Markdown | ||
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MyST Markdown notebooks are defined by two things: | ||
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1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed). | ||
See the YAML at the top of this page for example. | ||
2. The presence of `{code-cell}` directives, which will be executed with your book. | ||
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That's all that is needed to get started! | ||
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## Quickly add YAML metadata for MyST Notebooks | ||
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If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command: | ||
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``` | ||
jupyter-book myst init path/to/markdownfile.md | ||
``` |
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# Markdown Files | ||
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Whether you write your book's content in Jupyter Notebooks (`.ipynb`) or | ||
in regular markdown files (`.md`), you'll write in the same flavor of markdown | ||
called **MyST Markdown**. | ||
This is a simple file to help you get started and show off some syntax. | ||
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## What is MyST? | ||
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MyST stands for "Markedly Structured Text". It | ||
is a slight variation on a flavor of markdown called "CommonMark" markdown, | ||
with small syntax extensions to allow you to write **roles** and **directives** | ||
in the Sphinx ecosystem. | ||
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For more about MyST, see [the MyST Markdown Overview](https://jupyterbook.org/content/myst.html). | ||
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## Sample Roles and Directives | ||
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Roles and directives are two of the most powerful tools in Jupyter Book. They | ||
are kind of like functions, but written in a markup language. They both | ||
serve a similar purpose, but **roles are written in one line**, whereas | ||
**directives span many lines**. They both accept different kinds of inputs, | ||
and what they do with those inputs depends on the specific role or directive | ||
that is being called. | ||
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Here is a "note" directive: | ||
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```{note} | ||
Here is a note | ||
``` | ||
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It will be rendered in a special box when you build your book. | ||
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Here is an inline directive to refer to a document: {doc}`markdown-notebooks`. | ||
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## Citations | ||
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You can also cite references that are stored in a `bibtex` file. For example, | ||
the following syntax: `` {cite}`holdgraf_evidence_2014` `` will render like | ||
this: {cite}`holdgraf_evidence_2014`. | ||
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Moreover, you can insert a bibliography into your page with this syntax: | ||
The `{bibliography}` directive must be used for all the `{cite}` roles to | ||
render properly. | ||
For example, if the references for your book are stored in `references.bib`, | ||
then the bibliography is inserted with: | ||
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```{bibliography} | ||
``` | ||
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## Learn more | ||
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This is just a simple starter to get you started. | ||
You can learn a lot more at [jupyterbook.org](https://jupyterbook.org). |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Content with notebooks\n", | ||
"\n", | ||
"You can also create content with Jupyter Notebooks. This means that you can include\n", | ||
"code blocks and their outputs in your book.\n", | ||
"\n", | ||
"## Markdown + notebooks\n", | ||
"\n", | ||
"As it is markdown, you can embed images, HTML, etc into your posts!\n", | ||
"\n", | ||
"![](https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg)\n", | ||
"\n", | ||
"You can also $add_{math}$ and\n", | ||
"\n", | ||
"$$\n", | ||
"math^{blocks}\n", | ||
"$$\n", | ||
"\n", | ||
"or\n", | ||
"\n", | ||
"$$\n", | ||
"\\begin{aligned}\n", | ||
"\\mbox{mean} la_{tex} \\\\ \\\\\n", | ||
"math blocks\n", | ||
"\\end{aligned}\n", | ||
"$$\n", | ||
"\n", | ||
"But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n", | ||
"\n", | ||
"## MyST markdown\n", | ||
"\n", | ||
"MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check\n", | ||
"out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),\n", | ||
"or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).\n", | ||
"\n", | ||
"## Code blocks and outputs\n", | ||
"\n", | ||
"Jupyter Book will also embed your code blocks and output in your book.\n", | ||
"For example, here's some sample Matplotlib code:" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"from matplotlib import rcParams, cycler\n", | ||
"import matplotlib.pyplot as plt\n", | ||
"import numpy as np\n", | ||
"plt.ion()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Fixing random state for reproducibility\n", | ||
"np.random.seed(19680801)\n", | ||
"\n", | ||
"N = 10\n", | ||
"data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n", | ||
"data = np.array(data).T\n", | ||
"cmap = plt.cm.coolwarm\n", | ||
"rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n", | ||
"\n", | ||
"\n", | ||
"from matplotlib.lines import Line2D\n", | ||
"custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),\n", | ||
" Line2D([0], [0], color=cmap(.5), lw=4),\n", | ||
" Line2D([0], [0], color=cmap(1.), lw=4)]\n", | ||
"\n", | ||
"fig, ax = plt.subplots(figsize=(10, 5))\n", | ||
"lines = ax.plot(data)\n", | ||
"ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"There is a lot more that you can do with outputs (such as including interactive outputs)\n", | ||
"with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.8.0" | ||
}, | ||
"widgets": { | ||
"application/vnd.jupyter.widget-state+json": { | ||
"state": {}, | ||
"version_major": 2, | ||
"version_minor": 0 | ||
} | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 4 | ||
} |
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