Move all the notebooks into the docs/ folder

code/docs/learning/02 Packaging It Up.ipynb

@@ -9,29 +9,12 @@
     "<h1 align=\"center\"> 🎲 ⛓️ 👉 🧪 </h1>"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "6e51fe6c-a8b8-48ed-9e7f-70e18945e597",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "# This loads some custom styles for matplotlib\n",
-    "import json, matplotlib\n",
-    "\n",
-    "with open(\"assets/matplotlibrc.json\") as f:\n",
-    "    matplotlib.rcParams.update(json.load(f))"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "5e745b48-9cde-49d1-b91b-b04282f6d30d",
    "metadata": {},
    "source": [
-    "# Testing\n",
+    "# Packaging It Up\n",
     "\n",
     "Before we proceed with writing any more code I want to put what we already have in python file and make it into an installable module. This will be useful both for importing code into these notebooks and for testing later."
    ]

code/docs/learning/04 Testing.ipynb

@@ -8,7 +8,7 @@
     "<h1 align=\"center\">Markov Chain Monte Carlo for fun and profit</h1>\n",
     "<h1 align=\"center\"> 🎲 ⛓️ 👉 🧪 </h1>\n",
     "\n",
-    "# Chapter 3: Testing"
+    "# Testing"
    ]
   },
   {

code/docs/learning/05 Adding Functionality.ipynb

@@ -38,7 +38,7 @@
    "id": "486f066c-f027-44e8-8937-8636a52f32fb",
    "metadata": {},
    "source": [
-    "## Functionality\n",
+    "# Adding Functionality\n",
     "\n",
     "The main thing we want to be able to do is to take measurements, the code as I have writting it doesn't really allow that because it only returns the final state in the chain. Let's say we have a measurement called `average_color(state)` that we want to average over the whole chain. We could just stick that inside our definition of `mcmc` but we know that we will likely make other measurements too and we don't want to keep writing new versions of our core functionality!\n",
     "\n",

code/docs/learning/08 Doing Reproducible Science.ipynb

@@ -1,12 +1,21 @@
 {
  "cells": [
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
+   "id": "96ca09e7",
+   "metadata": {},
+   "source": [
+    "<h1 align=\"center\">Markov Chain Monte Carlo for fun and profit</h1>\n",
+    "<h1 align=\"center\"> 🎲 ⛓️ 👉 🧪 </h1>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "id": "94c1cebd-8bb4-4f19-bdb3-c503cd620d22",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "# Doing Reproducible Science"
+   ]
   }
  ],
  "metadata": {

code/docs/learning/09 Adding Documentation.ipynb

@@ -106,6 +106,30 @@
     "]\n",
     "```"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c771a57d-c802-429a-b051-1bd0364b9317",
+   "metadata": {},
+   "source": [
+    "Finally we add a `readthedocs.yaml` file to tell readthedocs how to build our documentation. https://docs.readthedocs.io/en/stable/config-file/v2.html#packages"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3843afa1-5c83-4328-bf8c-5e189dc4ee35",
+   "metadata": {},
+   "source": [
+    "And the documentation is now hosted [online!](https://recode-mcmcff.readthedocs.io/en/latest/#)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b5ca1a87-26e8-4006-99ac-38e51948f3b2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {