add template notebook

template_notebook.ipynb

@@ -0,0 +1,187 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "domestic-remove",
+   "metadata": {},
+   "source": [
+    "(template_notebook)=\n",
+    "# This is a template notebook\n",
+    "\n",
+    ":::{post} January, 2023\n",
+    ":tags: binomial regression, generalized linear model, \n",
+    ":category: beginner, reference\n",
+    ":author: Jane Doe\n",
+    ":::"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "72588976-efc3-4adc-bec2-bc5b6ac4b7e1",
+   "metadata": {},
+   "source": [
+    "This is some introductory text. Consult the [style guide](https://docs.pymc.io/en/latest/contributing/jupyter_style.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "elect-softball",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import arviz as az\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import pymc as pm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "level-balance",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "%config InlineBackend.figure_format = 'retina'\n",
+    "az.style.use(\"arviz-darkgrid\")\n",
+    "rng = np.random.default_rng(42)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "sapphire-yellow",
+   "metadata": {},
+   "source": [
+    "## My lovely content here"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "21e66b38",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Your code here\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Your code here\")"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "b743d58b-2678-4e17-9947-a8fe4ed03e21",
+   "metadata": {},
+   "source": [
+    "## Authors\n",
+    "- Authored by [Benjamin T. Vincent](https://github.com/drbenvincent) in January 2023 "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "closed-frank",
+   "metadata": {},
+   "source": [
+    "## References\n",
+    ":::{bibliography}\n",
+    ":filter: docname in docnames\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0717070c-04aa-4836-ab95-6b3eff0dcaaf",
+   "metadata": {},
+   "source": [
+    "## Watermark"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "sound-calculation",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Last updated: Wed Dec 28 2022\n",
+      "\n",
+      "Python implementation: CPython\n",
+      "Python version       : 3.11.0\n",
+      "IPython version      : 8.7.0\n",
+      "\n",
+      "pytensor: 2.8.11\n",
+      "\n",
+      "pymc      : 5.0.1\n",
+      "numpy     : 1.24.0\n",
+      "arviz     : 0.14.0\n",
+      "pandas    : 1.5.2\n",
+      "sys       : 3.11.0 | packaged by conda-forge | (main, Oct 25 2022, 06:21:25) [Clang 14.0.4 ]\n",
+      "matplotlib: 3.6.2\n",
+      "\n",
+      "Watermark: 2.3.1\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext watermark\n",
+    "%watermark -n -u -v -iv -w -p pytensor"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e4386fc-4de9-4535-a160-d929315633ef",
+   "metadata": {},
+   "source": [
+    ":::{include} ../page_footer.md",
+    ":::"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "pymc_env",
+   "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": "3.11.0"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "d5f0cba85daacbebbd957da1105312a62c58952ca942f7218a10e4aa5f415a19"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}