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  1. {
  2.  "cells": [
  3.   {
  4.    "cell_type": "code",
  5.    "execution_count": 1,
  6.    "metadata": {},
  7.    "outputs": [],
  8.    "source": [
  9.     "import pandas as pd"
  10.    ]
  11.   },
  12.   {
  13.    "cell_type": "code",
  14.    "execution_count": 3,
  15.    "metadata": {},
  16.    "outputs": [],
  17.    "source": [
  18.     "import numpy as np"
  19.    ]
  20.   },
  21.   {
  22.    "cell_type": "code",
  23.    "execution_count": 4,
  24.    "metadata": {},
  25.    "outputs": [
  26.     {
  27.      "name": "stdout",
  28.      "output_type": "stream",
  29.      "text": [
  30.       " Hello Capstone Project Course!\n"
  31.      ]
  32.     }
  33.    ],
  34.    "source": [
  35.     "print(\" Hello Capstone Project Course!\")"
  36.    ]
  37.   },
  38.   {
  39.    "cell_type": "code",
  40.    "execution_count": null,
  41.    "metadata": {},
  42.    "outputs": [],
  43.    "source": []
  44.   }
  45.  ],
  46.  "metadata": {
  47.   "kernelspec": {
  48.    "display_name": "Python 3",
  49.    "language": "python",
  50.    "name": "python3"
  51.   },
  52.   "language_info": {
  53.    "codemirror_mode": {
  54.     "name": "ipython",
  55.     "version": 3
  56.    },
  57.    "file_extension": ".py",
  58.    "mimetype": "text/x-python",
  59.    "name": "python",
  60.    "nbconvert_exporter": "python",
  61.    "pygments_lexer": "ipython3",
  62.    "version": "3.6.8"
  63.   }
  64.  },
  65.  "nbformat": 4,
  66.  "nbformat_minor": 2
  67. }
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