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adding a gallery
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choldgraf committed Jan 31, 2020
1 parent 1c2e184 commit 209bf13
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4 changes: 4 additions & 0 deletions jupyter_book/book_template/_data/toc.yml
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- url: /contributing
not_numbered: true

- title: Example Book Gallery
url: /features/gallery
not_numbered: true

- divider: true
- header: Demo textbook
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13 changes: 13 additions & 0 deletions jupyter_book/book_template/content/data/gallery.yml
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- name: Geographic Data Science with Python
url: https://geographicdata.science/book/notebooks/04_spatial_weights.html
logo_url: https://geographicdata.science/book/images/logo/logo.png
- name: AWS Certified Machine Learning-Specialty (ML-S) Guide
url: https://noahgift.github.io/aws-ml-guide/intro
logo_url: https://noahgift.github.io/aws-ml-guide/images/logo.png
- name: Inferential Thinking textbook
url: https://inferentialthinking.com
logo_url: https://www.inferentialthinking.com/favicon.png
- name: Qiskit Textbook
url: https://qiskit.org/textbook/ch-gates/quantum-gates.html
logo_url: https://qiskit.org/textbook/images/logo/logo.png

162 changes: 162 additions & 0 deletions jupyter_book/book_template/content/features/gallery.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# A gallery of Jupyter Books\n",
"\n",
"Below is small gallery of Jupyter Books in the wild. They have been semi-randomly selected\n",
"from [the list of GitHub projects that depend on Jupyter Book](https://github.com/jupyter/jupyter-book/network/dependents?package_id=UGFja2FnZS0zMjg0ODMyNzQ%3D).\n",
"\n",
"If you'd like to add your book to the list, you may submit a pull request adding\n",
"your book's information to [this YAML file of demo example books](https://github.com/jupyter/jupyter-book/blob/master/jupyter_book/book_template/content/data/gallery.yml)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"tags": [
"remove_input"
]
},
"outputs": [],
"source": [
"from ruamel.yaml import YAML\n",
"import pandas as pd\n",
"from pathlib import Path\n",
"import numpy as np\n",
"yaml = YAML()\n",
"gallery = Path('../data/gallery.yml')\n",
"gallery = pd.DataFrame(yaml.load(gallery))\n",
"\n",
"html = ['<table class=\"gallery\">']\n",
"n_per_row = 3\n",
"for ii in range(int(np.ceil(gallery.shape[0] / n_per_row))):\n",
" row_items = gallery.iloc[ii * n_per_row: ii * n_per_row + n_per_row]\n",
" html.append('<tr>')\n",
" for ii, (row, vals) in enumerate(row_items.iterrows()):\n",
" item_html = f\"\"\"\n",
" <td class='gallery-item' style='text-align: center; width:220px; position: block; padding: 10px'>\n",
" <a href={vals['url']}>\n",
" <img style='height: 180px; max-width:200px; margin: 0px auto' src='{vals['logo_url']}' />\n",
" <br />\n",
" <p style='font-size: 1.2em; text-align: center'>{vals['name']}</p>\n",
" </a>\n",
" </td>\"\"\"\n",
" html.append(item_html)\n",
" html.append('</tr>')\n",
"html.append('</table>')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": [
"remove_input"
]
},
"outputs": [
{
"data": {
"text/html": [
"<table class=\"gallery\">\n",
"<tr>\n",
"\n",
" <td class='gallery-item' style='text-align: center; width:220px; position: block; padding: 10px'>\n",
" <a href=https://geographicdata.science/book/notebooks/04_spatial_weights.html>\n",
" <img style='height: 180px; max-width:200px; margin: 0px auto' src='https://geographicdata.science/book/images/logo/logo.png' />\n",
" <br />\n",
" <p style='font-size: 1.2em; text-align: center'>Geographic Data Science with Python</p>\n",
" </a>\n",
" </td>\n",
"\n",
" <td class='gallery-item' style='text-align: center; width:220px; position: block; padding: 10px'>\n",
" <a href=http://pysal.org/notebooks/intro.html>\n",
" <img style='height: 180px; max-width:200px; margin: 0px auto' src='http://pysal.org/notebooks/assets/images/logo.png' />\n",
" <br />\n",
" <p style='font-size: 1.2em; text-align: center'>PySAL Notebooks Project</p>\n",
" </a>\n",
" </td>\n",
"\n",
" <td class='gallery-item' style='text-align: center; width:220px; position: block; padding: 10px'>\n",
" <a href=https://noahgift.github.io/aws-ml-guide/intro>\n",
" <img style='height: 180px; max-width:200px; margin: 0px auto' src='https://noahgift.github.io/aws-ml-guide/images/logo.png' />\n",
" <br />\n",
" <p style='font-size: 1.2em; text-align: center'>AWS Certified Machine Learning-Specialty (ML-S) Guide</p>\n",
" </a>\n",
" </td>\n",
"</tr>\n",
"<tr>\n",
"\n",
" <td class='gallery-item' style='text-align: center; width:220px; position: block; padding: 10px'>\n",
" <a href=https://inferentialthinking.com>\n",
" <img style='height: 180px; max-width:200px; margin: 0px auto' src='https://www.inferentialthinking.com/favicon.png' />\n",
" <br />\n",
" <p style='font-size: 1.2em; text-align: center'>Inferential Thinking textbook</p>\n",
" </a>\n",
" </td>\n",
"\n",
" <td class='gallery-item' style='text-align: center; width:220px; position: block; padding: 10px'>\n",
" <a href=https://qiskit.org/textbook/ch-gates/quantum-gates.html>\n",
" <img style='height: 180px; max-width:200px; margin: 0px auto' src='https://qiskit.org/textbook/images/logo/logo.png' />\n",
" <br />\n",
" <p style='font-size: 1.2em; text-align: center'>Qiskit Textbook</p>\n",
" </a>\n",
" </td>\n",
"</tr>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import HTML\n",
"HTML('\\n'.join(html))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.7.3"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}

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