From 47cfc123a06c2ab07247131d6d9c8bb8c99735f5 Mon Sep 17 00:00:00 2001 From: David Lippert <8987916+david-lippert@users.noreply.github.com> Date: Tue, 21 May 2024 14:35:08 -0400 Subject: [PATCH] Initial commit --- .github/workflows/deploy-book.yml | 59 +++++ .gitignore | 177 +++++++++++++ LICENSE | 395 +++++++++++++++++++++++++++++ README.md | 87 +++++++ example-book/_config.yml | 32 +++ example-book/_toc.yml | 9 + example-book/intro.md | 11 + example-book/logo.png | Bin 0 -> 9854 bytes example-book/markdown-notebooks.md | 53 ++++ example-book/markdown.md | 55 ++++ example-book/notebooks.ipynb | 122 +++++++++ example-book/ospo-logo.png | Bin 0 -> 74794 bytes example-book/references.bib | 56 ++++ requirements.txt | 12 + 14 files changed, 1068 insertions(+) create mode 100644 .github/workflows/deploy-book.yml create mode 100644 .gitignore create mode 100644 LICENSE create mode 100644 README.md create mode 100644 example-book/_config.yml create mode 100644 example-book/_toc.yml create mode 100644 example-book/intro.md create mode 100644 example-book/logo.png create mode 100644 example-book/markdown-notebooks.md create mode 100644 example-book/markdown.md create mode 100644 example-book/notebooks.ipynb create mode 100644 example-book/ospo-logo.png create mode 100644 example-book/references.bib create mode 100644 requirements.txt diff --git a/.github/workflows/deploy-book.yml b/.github/workflows/deploy-book.yml new file mode 100644 index 0000000..a06d717 --- /dev/null +++ b/.github/workflows/deploy-book.yml @@ -0,0 +1,59 @@ + +# https://jupyterbook.org/en/stable/publish/gh-pages.html + +name: deploy-book + +on: + push: + branches: + - main + # If your git repository has the Jupyter Book within some-subfolder next to + # unrelated files, you can make this run only if a file within that specific + # folder has been modified. + # + paths: + - example-book/** + +jobs: + deploy-book: + runs-on: ubuntu-latest + permissions: + pages: write + id-token: write + steps: + - uses: actions/checkout@v3 + + - name: Set up Python 3.11 + uses: actions/setup-python@v4 + with: + python-version: 3.11 + + - name: Install dependencies + run: | + pip install -r requirements.txt + + # (optional) Cache your executed notebooks between runs + # if you have config: + # execute: + # execute_notebooks: cache + - name: cache executed notebooks + uses: actions/cache@v3 + with: + path: _build/.jupyter_cache + key: jupyter-book-cache-${{ hashFiles('requirements.txt') }} + + # Save the book's HTML contents to the _build directory + - name: Build the book + run: | + jupyter-book build example-book/ + + # Upload the book's HTML as an artifact + - name: Upload artifact + uses: actions/upload-pages-artifact@v2 + with: + path: "example-book/_build/html" + + # Deploy the book's HTML to GitHub Pages + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v2 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..f0a5621 --- /dev/null +++ b/.gitignore @@ -0,0 +1,177 @@ + + + +.DS_Store + + +## keep just the book PDF file!! +## https://stackoverflow.com/a/16318111/670433 +#example-book/_build/* +#!example-book/_build/latex +#example-book/_build/latex/* +#!example-book/_build/latex/book.pdf + +# JK, ignore all artifacts from the build process (regardless of book name): +*/_build/* + + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. 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For +the avoidance of doubt, this paragraph does not form part of the +public licenses. + +Creative Commons may be contacted at creativecommons.org. diff --git a/README.md b/README.md new file mode 100644 index 0000000..133c3e9 --- /dev/null +++ b/README.md @@ -0,0 +1,87 @@ +# jupyter-book-example + +[![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/) + +This repository demonstrates a working implementation of [Jupyter Book](https://jupyterbook.org/), hosted on GitHub Pages, with automated deployments setup via GitHub Actions. + +For more context about this process, or if you would like to start from scratch to setup your own book, consult the official [Jupyter Book Tutorial](https://jupyterbook.org/en/stable/start/your-first-book.html). + +Otherwise, if you'd like to build on top of this template repository, follow the instructions below. + +## Setup + +[Make a copy](https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-repository-from-a-template) of this template repository. + +> NOTE: the GitHub Actions build for your new repository may be failing initially, until you configure GitHub Actions (see "Deploying" section below) + +Clone your copy of the repository onto your local computer, and navigate there from the command line. + +Setup a project-specific virtual environment, if you like that kind of thing (otherwise use an existing environment): + +```sh +# using python 3.10 for example, but you can choose a different version if you'd like: +conda create -n jbook-env python=3.10 +conda activate jbook-env +``` + +[Install the Jupyter Book Package](https://jupyterbook.org/en/stable/start/overview.html#install-jupyter-book), for example via pip: + +```sh +# install just the jupyter book package into your environment: +#pip install jupyter-book + +# consider alternatively leveraging the requirements file: +pip install -r requirements.txt +``` + +## Managing the Book + +### Initializing + +FYI - the following command was used to create the structure for this book (where "example-book" was chosen as the name of the book): + +```sh +jupyter-book create example-book +``` + +If you have created a copy of this repository, you won't need to repeat this initialization step. + +### Customizing + +There are a number of opportunities to customize the book configuration via the ["_config.yml" file](/example-book/_config.yml) (for example, updating the logo). The sidebar navigation can be customized via the ["_toc.yml" file](/example-book/_toc.yml). See the [Jupyter Book Configuration Reference](https://jupyterbook.org/customize/config.html) for more details. + +Also customize the content for your book, adding new markdown and notebook files to your book directory, as desired. + +If you are including IPYNB notebooks in your book, and if these notebooks use any third-party Python packages, you must update the ["requirements.txt" file](/requirements.txt) to include the names of those packages. + +### Building + +> NOTE: the commands below assume your book is named "example-book", however if you choose a different book name, you'll need to update the commands accordingly + +Build book as LaTeX (see "example-book/_build/latex"): + +```sh +jupyter-book build example-book/ --builder latex +``` + +Build book as PDF (see "example-book/_build/latex/book.pdf"): + +```sh +jupyter-book build example-book/ --builder pdflatex +``` + +Build book as HTML: (see "example-book/_build/html/index.html"): + +```sh +jupyter-book build example-book/ --builder html +``` + +### Deploying + +We want to [publish a GitHub Pages site using a GitHub Actions workflow](https://docs.github.com/en/pages/getting-started-with-github-pages/configuring-a-publishing-source-for-your-github-pages-site#publishing-with-a-custom-github-actions-workflow). See also the [Jupyter Book GitHub Pages Guide](https://jupyterbook.org/en/stable/publish/gh-pages.html). + +The ["deploy-book.yml" workflow file](/.github/workflows/deploy-book.yml) controls the build process, and has been created for you already. If you use your own book name, customize "example-book" in this file to refer to the book name you chose (see lines 15, 48, and 54). + +In your GitHub repository's settings, under the "pages" settings, configure GitHub Pages, specifically choosing to deploy from "GitHub Actions" source. + +Commit and push to trigger an automated build of your HTML site. Visit the hosted site at your repository's GitHub Pages URL. You can find the hosted site URL from your GitHub Pages settings, once the site has been deployed! It should resemble the format `https://USERNAME.github.io/REPO_NAME`. diff --git a/example-book/_config.yml b/example-book/_config.yml new file mode 100644 index 0000000..63cddeb --- /dev/null +++ b/example-book/_config.yml @@ -0,0 +1,32 @@ +# Book settings +# Learn more at https://jupyterbook.org/customize/config.html + +title: My example book +author: GWU Open Source Program Office (OSPO) +logo: ospo-logo.png + +# Force re-execution of notebooks on each build. +# See https://jupyterbook.org/content/execute.html +execute: + execute_notebooks: force + +# Define the name of the latex output file for PDF builds +latex: + latex_documents: + targetname: book.tex + +# Add a bibtex file so that we can create citations +bibtex_bibfiles: + - references.bib + +# Information about where the book exists on the web +repository: + url: https://github.com/gw-ospo/jupyter-book-template # Online location of your book + path_to_book: docs # Optional path to your book, relative to the repository root + branch: main # Which branch of the repository should be used when creating links (optional) + +# 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 diff --git a/example-book/_toc.yml b/example-book/_toc.yml new file mode 100644 index 0000000..74d5c71 --- /dev/null +++ b/example-book/_toc.yml @@ -0,0 +1,9 @@ +# Table of contents +# Learn more at https://jupyterbook.org/customize/toc.html + +format: jb-book +root: intro +chapters: +- file: markdown +- file: notebooks +- file: markdown-notebooks diff --git a/example-book/intro.md b/example-book/intro.md new file mode 100644 index 0000000..f8cdc73 --- /dev/null +++ b/example-book/intro.md @@ -0,0 +1,11 @@ +# Welcome to your Jupyter Book + +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. + +Check out the content pages bundled with this sample book to see more. + +```{tableofcontents} +``` diff --git a/example-book/logo.png b/example-book/logo.png new file mode 100644 index 0000000000000000000000000000000000000000..06d56f40c838b64eb048a63e036125964a069a3a GIT binary patch literal 9854 zcmcJ#_ghoX7cGn*K?4W`P^xr9dX-2=s)7_L0g)Pd2}GoYu8}Goq=uqY=^(vJ3q7D9 zgx&ncihTY58>yQhyHVAq6+lGO~MVagOauq5m9v<`6Yyea8LU7g^33d5#6JIpIaLG z-1|gCJhU3BN``QY-K@=)`@JW9M^t~b7uLWQYei|mDOJQ5UUg0~vIqbGt~C8wn@$P% z5pl~zRjG%ihlB(HjNnDEe-dDz2JixSk(`6?==a`q;3sz5kB=vYkB^Usv)VI9k21rD zJiTz9qguh+nKE8m#+pE4C16PIb7Iqf7uN3q_3Quydk+ycREf|Kaf=g!AT$7Pt5%T^ z8aVDmSdkMNlHc+OU`GfMo(G6M`@b>}|7lC2WNZAX;dG{O$?=D%iOq{^-7HrB zcK+ZB)!$jy15VseoVKDTyWDkjAxOOZ*QX8d#=@20sP;i@Xow95<_tP$?zwjiu96e z>w=n(W1oxV>vfZL+?;M$rHrbr-j~Q4Z0#f{{?B_kL)V~b;Ypj(r`bl+t51=jl6us% 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format_version: 0.13 + jupytext_version: 1.11.5 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + +# Notebooks with MyST Markdown + +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. + +## An example cell + +With MyST Markdown, you can define code cells with a directive like so: + +```{code-cell} +print(2 + 2) +``` + +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. + +```{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). +``` + +## Create a notebook with MyST Markdown + +MyST Markdown notebooks are defined by two things: + +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. + +That's all that is needed to get started! + +## Quickly add YAML metadata for MyST Notebooks + +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: + +``` +jupyter-book myst init path/to/markdownfile.md +``` diff --git a/example-book/markdown.md b/example-book/markdown.md new file mode 100644 index 0000000..faeea60 --- /dev/null +++ b/example-book/markdown.md @@ -0,0 +1,55 @@ +# Markdown Files + +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. + +## What is MyST? + +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. + +For more about MyST, see [the MyST Markdown Overview](https://jupyterbook.org/content/myst.html). + +## Sample Roles and Directives + +Roles and directives are two of the most powerful tools in Jupyter Book. They +are 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. + +Here is a "note" directive: + +```{note} +Here is a note +``` + +It will be rendered in a special box when you build your book. + +Here is an inline directive to refer to a document: {doc}`markdown-notebooks`. + + +## Citations + +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`. + +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: + +```{bibliography} +``` + +## Learn more + +This is just a simple starter to get you started. +You can learn a lot more at [jupyterbook.org](https://jupyterbook.org). diff --git a/example-book/notebooks.ipynb b/example-book/notebooks.ipynb new file mode 100644 index 0000000..fdb7176 --- /dev/null +++ b/example-book/notebooks.ipynb @@ -0,0 +1,122 @@ +{ + "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 +} diff --git a/example-book/ospo-logo.png b/example-book/ospo-logo.png new file mode 100644 index 0000000000000000000000000000000000000000..545a81d8095f064dd22fb5692d2764ad4a1776ea GIT binary patch literal 74794 zcmeEtS5#Bo)@UdSB1J@s(i9aGr1y@}6zRPqBGL&EdPqP~QE4gyN*APe=_LV02+~3a z={?lY6Cecc2EOy3^YD*5?&Ezpj^SYMoi*p0YxcR;T<>(X)oG}%QGq}pnnw>+^g*DD 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bu%m8o!IOHj{jvV>^WsPlEtEO?i!7@{12)L@I zp#bl4r}S=GeZ|vpcZDsTdJe1x@m?7L;i3++|3C3P$tM=Rc( z8SJ}Q)gCS9#6pMO+BeTdn(%HJ(@z$|MV@J_B^Z)*vN{+Hsz}WQF*;*1O$UTfMkz-= z{3YHM=V6HzN`q55y8_4U=urwexOxCj%tk$d=B4*};8?g=wGh<_`m$jed6^(VXCX+T zO8t#>csaFoiRwd7pAm z?lF7B5*`E(6Uar6S1ivY(o<`NYb)qKP2|yG!Ks-*W2(mFtWvr9N8XTxQ}5biuC3EV z*gC_Z$)*|tWKDa>{8{JIYm$45-xJEGcb2WGZc^J$pR08k2vi9;qciF!7bM8eP@TaPNWj)cQd>12eKw?e(iN3YxXRx2zf*{a|AyW%r$sBB_~Dbsi4cbU?w)S^-Q>7`0quSv A!~g&Q literal 0 HcmV?d00001 diff --git a/example-book/references.bib b/example-book/references.bib new file mode 100644 index 0000000..783ec6a --- /dev/null +++ b/example-book/references.bib @@ -0,0 +1,56 @@ +--- +--- + +@inproceedings{holdgraf_evidence_2014, + address = {Brisbane, Australia, Australia}, + title = {Evidence for {Predictive} {Coding} in {Human} {Auditory} {Cortex}}, + booktitle = {International {Conference} on {Cognitive} {Neuroscience}}, + publisher = {Frontiers in Neuroscience}, + author = {Holdgraf, Christopher Ramsay and de Heer, Wendy and Pasley, Brian N. and Knight, Robert T.}, + year = {2014} +} + +@article{holdgraf_rapid_2016, + title = {Rapid tuning shifts in human auditory cortex enhance speech intelligibility}, + volume = {7}, + issn = {2041-1723}, + url = {http://www.nature.com/doifinder/10.1038/ncomms13654}, + doi = {10.1038/ncomms13654}, + number = {May}, + journal = {Nature Communications}, + author = {Holdgraf, Christopher Ramsay and de Heer, Wendy and Pasley, Brian N. and Rieger, Jochem W. and Crone, Nathan and Lin, Jack J. and Knight, Robert T. and Theunissen, Frédéric E.}, + year = {2016}, + pages = {13654}, + file = {Holdgraf et al. - 2016 - Rapid tuning shifts in human auditory cortex enhance speech intelligibility.pdf:C\:\\Users\\chold\\Zotero\\storage\\MDQP3JWE\\Holdgraf et al. - 2016 - Rapid tuning shifts in human auditory cortex enhance speech intelligibility.pdf:application/pdf} +} + +@inproceedings{holdgraf_portable_2017, + title = {Portable learning environments for hands-on computational instruction using container-and cloud-based technology to teach data science}, + volume = {Part F1287}, + isbn = {978-1-4503-5272-7}, + doi = {10.1145/3093338.3093370}, + abstract = {© 2017 ACM. There is an increasing interest in learning outside of the traditional classroom setting. This is especially true for topics covering computational tools and data science, as both are challenging to incorporate in the standard curriculum. These atypical learning environments offer new opportunities for teaching, particularly when it comes to combining conceptual knowledge with hands-on experience/expertise with methods and skills. Advances in cloud computing and containerized environments provide an attractive opportunity to improve the effciency and ease with which students can learn. This manuscript details recent advances towards using commonly-Available cloud computing services and advanced cyberinfrastructure support for improving the learning experience in bootcamp-style events. We cover the benets (and challenges) of using a server hosted remotely instead of relying on student laptops, discuss the technology that was used in order to make this possible, and give suggestions for how others could implement and improve upon this model for pedagogy and reproducibility.}, + booktitle = {{ACM} {International} {Conference} {Proceeding} {Series}}, + author = {Holdgraf, Christopher Ramsay and Culich, A. and Rokem, A. and Deniz, F. and Alegro, M. and Ushizima, D.}, + year = {2017}, + keywords = {Teaching, Bootcamps, Cloud computing, Data science, Docker, Pedagogy} +} + +@article{holdgraf_encoding_2017, + title = {Encoding and decoding models in cognitive electrophysiology}, + volume = {11}, + issn = {16625137}, + doi = {10.3389/fnsys.2017.00061}, + abstract = {© 2017 Holdgraf, Rieger, Micheli, Martin, Knight and Theunissen. Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded from the human brain as well as in the computational tools available to analyze this data. This data explosion has resulted in an increased use of multivariate, model-based methods for asking neuroscience questions, allowing scientists to investigate multiple hypotheses with a single dataset, to use complex, time-varying stimuli, and to study the human brain under more naturalistic conditions. These tools come in the form of “Encoding” models, in which stimulus features are used to model brain activity, and “Decoding” models, in which neural features are used to generated a stimulus output. Here we review the current state of encoding and decoding models in cognitive electrophysiology and provide a practical guide toward conducting experiments and analyses in this emerging field. Our examples focus on using linear models in the study of human language and audition. We show how to calculate auditory receptive fields from natural sounds as well as how to decode neural recordings to predict speech. The paper aims to be a useful tutorial to these approaches, and a practical introduction to using machine learning and applied statistics to build models of neural activity. The data analytic approaches we discuss may also be applied to other sensory modalities, motor systems, and cognitive systems, and we cover some examples in these areas. In addition, a collection of Jupyter notebooks is publicly available as a complement to the material covered in this paper, providing code examples and tutorials for predictive modeling in python. The aimis to provide a practical understanding of predictivemodeling of human brain data and to propose best-practices in conducting these analyses.}, + journal = {Frontiers in Systems Neuroscience}, + author = {Holdgraf, Christopher Ramsay and Rieger, J.W. and Micheli, C. and Martin, S. and Knight, R.T. and Theunissen, F.E.}, + year = {2017}, + keywords = {Decoding models, Encoding models, Electrocorticography (ECoG), Electrophysiology/evoked potentials, Machine learning applied to neuroscience, Natural stimuli, Predictive modeling, Tutorials} +} + +@book{ruby, + title = {The Ruby Programming Language}, + author = {Flanagan, David and Matsumoto, Yukihiro}, + year = {2008}, + publisher = {O'Reilly Media} +} diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..04b43ed --- /dev/null +++ b/requirements.txt @@ -0,0 +1,12 @@ + +# USE JUPYTER BOOK TO BUILD THE BOOK +# https://jupyterbook.org/en/stable/start/overview.html +jupyter-book + + +# ALSO ADD ANY PACKAGES THAT YOUR NOTEBOOKS REQURE (BELOW) +# JUPYER BOOK WILL EXECUTE THE NOTEBOOKS +# ... SO THEY WILL NEED TO HAVE THEIR PACKAGE DEPENDENCIES SATISFIED +matplotlib +numpy +# etc...