Add the second lesson about packaging

learning/02 Packaging it up.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "dcddb3be-940b-4416-aec5-7159354c7cc0",
+   "metadata": {},
+   "source": [
+    "<h1 align=\"center\">Markov Chain Monte Carlo for fun and profit</h1>\n",
+    "<h1 align=\"center\"> 🎲 ⛓️ 👉 🧪 </h1>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "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",
+    "with open(\"assets/matplotlibrc.json\") as f: matplotlib.rcParams.update(json.load(f))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6327bffe-5a27-4643-929e-a9d41672cd2c",
+   "metadata": {},
+   "source": [
+    "## Packaging\n",
+    "\n",
+    "Now that we have some code, we're going to factor it out into a little python package, this has a few benefits:\n",
+    " - foo\n",
+    " - bah"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58bef986-9d69-4ef6-8a64-9eaf29c3424e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:jupyter3.9] *",
+   "language": "python",
+   "name": "conda-env-jupyter3.9-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}