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  1. {
  2.  "cells": [
  3.   {
  4.    "cell_type": "markdown",
  5.    "metadata": {},
  6.    "source": [
  7.     "# Capstone Project Notebook\n",
  8.     "\n",
  9.     "This notebook will be mainly used for the capstone project."
  10.    ]
  11.   },
  12.   {
  13.    "cell_type": "code",
  14.    "execution_count": 2,
  15.    "metadata": {},
  16.    "outputs": [],
  17.    "source": [
  18.     "import pandas as pd\n",
  19.     "import numpy as np"
  20.    ]
  21.   },
  22.   {
  23.    "cell_type": "code",
  24.    "execution_count": 3,
  25.    "metadata": {},
  26.    "outputs": [
  27.     {
  28.      "name": "stdout",
  29.      "output_type": "stream",
  30.      "text": [
  31.       "Hello Capstone Project Course!\n"
  32.      ]
  33.     }
  34.    ],
  35.    "source": [
  36.     "print('Hello Capstone Project Course!')"
  37.    ]
  38.   },
  39.   {
  40.    "cell_type": "code",
  41.    "execution_count": null,
  42.    "metadata": {},
  43.    "outputs": [],
  44.    "source": []
  45.   }
  46.  ],
  47.  "metadata": {
  48.   "kernelspec": {
  49.    "display_name": "Python 3",
  50.    "language": "python",
  51.    "name": "python3"
  52.   },
  53.   "language_info": {
  54.    "codemirror_mode": {
  55.     "name": "ipython",
  56.     "version": 3
  57.    },
  58.    "file_extension": ".py",
  59.    "mimetype": "text/x-python",
  60.    "name": "python",
  61.    "nbconvert_exporter": "python",
  62.    "pygments_lexer": "ipython3",
  63.    "version": "3.6.7"
  64.   }
  65.  },
  66.  "nbformat": 4,
  67.  "nbformat_minor": 4
  68. }
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