First push for CLASS core

_build/.doctrees/glue_cache.json

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+{}

_build/html/.buildinfo

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+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 04c13d88eea40c9fbb10e7c5003b91b1
+tags: 645f666f9bcd5a90fca523b33c5a78b7

_build/html/_panels_static/panels-variables.06eb56fa6e07937060861dad626602ad.css

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+:root {
+--tabs-color-label-active: hsla(231, 99%, 66%, 1);
+--tabs-color-label-inactive: rgba(178, 206, 245, 0.62);
+--tabs-color-overline: rgb(207, 236, 238);
+--tabs-color-underline: rgb(207, 236, 238);
+--tabs-size-label: 1rem;
+}

_build/html/_sources/content/01_intro_to_cloud.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "90e130db",
+   "metadata": {},
+   "source": [
+    "## Introduction to Cloud Computing for Research\n",
+    "\n",
+    "Cloud computing is an on-demand computing resource that is scalable and follows a pay-as-you-go model. Instead of a singular data center or super-computing center, large cloud providers have  data centers spanning multiple locations. The largest cloud computing providers are Microsoft (Azure), Amazon (Amazon Web Services, AWS) and Google (Google Cloud Platform, GCP). Together, they are often referred to as \"public\" or \"commercial\" cloud providers. \n",
+    "\n",
+    "\n",
+    "For researchers, it is often helpful to be aware of these five key components related to cloud computing infrastructure: \n",
+    "\n",
+    "<img src=\"./images/cloudcomponents.svg\" width=600>\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ba7ffb3b",
+   "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": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

_build/html/_sources/content/02_is_the_cloud_right.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1b6fcbc0",
+   "metadata": {},
+   "source": [
+    "### Is the cloud right for me?\n",
+    "\n",
+    "<img src=\"./images/acceleratescience.svg\" width=500>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e11c0b5",
+   "metadata": {},
+   "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": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

_build/html/_sources/content/03_cost_analysis.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "90e130db",
+   "metadata": {},
+   "source": [
+    "## How do I estimate costs?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2234c14b",
+   "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": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

_build/html/_sources/content/04_openscience.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "90e130db",
+   "metadata": {},
+   "source": [
+    "## Open and Reproducible Science"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b724c135",
+   "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": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

_build/html/_sources/content/05_best_practices.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "90e130db",
+   "metadata": {},
+   "source": [
+    "## Cloud Best Practices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "881c3977",
+   "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": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

_build/html/_sources/intro.md

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+<!-- #region -->
+#### Overview
+This online "book" aims to enable pathways to adoption of cloud computing for research. You will discover how the public cloud can foster innovation, accelerate scientific discovery and learn about best practices for leveraging the cloud. 
+
+
+#### Issues
+Please contact class@internet2.edu with issues or questions
+
+Content for this site was put together by the Research Engagement team at Internet2. [Find out more here](https://internet2.edu/community/research-engagement/internet2-research-engagement-team/)!
+
+
+<!-- #endregion -->
+
+```python
+
+```
+
+```python
+
+```

_build/html/_sources/markdown.md

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+# 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**.
+
+## 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.
+
+## What are roles and directives?
+
+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.
+
+### Using a directive
+
+At its simplest, you can insert a directive into your book's content like so:
+
+````
+```{mydirectivename}
+My directive content
+```
+````
+
+This will only work if a directive with name `mydirectivename` already exists
+(which it doesn't). There are many pre-defined directives associated with
+Jupyter Book. For example, to insert a note box into your content, you can
+use the following directive:
+
+````
+```{note}
+Here is a note
+```
+````
+
+This results in:
+
+```{note}
+Here is a note
+```
+
+In your built book.
+
+For more information on writing directives, see the
+[MyST documentation](https://myst-parser.readthedocs.io/).
+
+
+### Using a role
+
+Roles are very similar to directives, but they are less-complex and written
+entirely on one line. You can insert a role into your book's content with
+this pattern:
+
+```
+Some content {rolename}`and here is my role's content!`
+```
+
+Again, roles will only work if `rolename` is a valid role's name. For example,
+the `doc` role can be used to refer to another page in your book. You can
+refer directly to another page by its relative path. For example, the
+role syntax `` {doc}`intro` `` will result in: {doc}`intro`.
+
+For more information on writing roles, see the
+[MyST documentation](https://myst-parser.readthedocs.io/).
+
+
+### Adding a citation
+
+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}
+```
+````
+
+Resulting in a rendered bibliography that looks like:
+
+```{bibliography}
+```
+
+
+### Executing code in your markdown files
+
+If you'd like to include computational content inside these markdown files,
+you can use MyST Markdown to define cells that will be executed when your
+book is built. Jupyter Book uses *jupytext* to do this.
+
+First, add Jupytext metadata to the file. For example, to add Jupytext metadata
+to this markdown page, run this command:
+
+```
+jupyter-book myst init markdown.md
+```
+
+Once a markdown file has Jupytext metadata in it, you can add the following
+directive to run the code at build time:
+
+````
+```{code-cell}
+print("Here is some code to execute")
+```
+````
+
+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.
+
+For more information about executing computational content with Jupyter Book,
+see [The MyST-NB documentation](https://myst-nb.readthedocs.io/).