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