{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example Notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We often name notebooks with a scheme that looks like this:\n",
    "\n",
    "```\n",
    "0.01_pjb_data-source-1.ipynb\n",
    "```\n",
    "\n",
    "- `0.01` - Helps leep work in chronological order. The structure is `PHASE.NOTEBOOK`. `NOTEBOOK` is just the Nth notebook in that phase to be created. For phases of the project, we generally use a scheme like the following, but you are welcome to design your own conventions:\n",
    "  - `0` - Data exploration - often just for exploratory work\n",
    "  - `1` - Data cleaning and feature creation - often writes data to `data/processed` or `data/interim`\n",
    "  - `2` - Visualizations - often writes publication-ready viz to `reports`\n",
    "  - `3` - Modeling - training machine learning models\n",
    "  - `4` - Publication - Notebooks that get turned directly into reports\n",
    "- `pjb` - Your initials or name; this is helpful for knowing who created the notebook and prevents collisions from people working in the same notebook.\n",
    "- `data-source-1` - A description of what the notebook covers\n",
    "\n",
    "Now that you have your notebook going, start your analysis!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 01 Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'torch'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtorch\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m tensor \u001b[38;5;28;01mas\u001b[39;00m T\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'torch'"
     ]
    }
   ],
   "source": [
    "from torch import tensor as T"
   ]
  }
 ],
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