{
    "nbformat_minor": 1,
    "cells": [
        {
            "source": "This notebook contains code for the Capstone project of Coursera's Applied Data Science Specialization.",
            "cell_type": "markdown",
            "metadata": {}
        },
        {
            "execution_count": 1,
            "cell_type": "code",
            "metadata": {},
            "outputs": [
                {
                    "output_type": "stream",
                    "name": "stdout",
                    "text": "Hello Capstone Project Course!\n"
                }
            ],
            "source": "import pandas as pd\nimport numpy as np\nprint(\"Hello Capstone Project Course!\")"
        },
        {
            "execution_count": null,
            "cell_type": "code",
            "metadata": {},
            "outputs": [],
            "source": ""
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3.6",
            "name": "python3",
            "language": "python"
        },
        "language_info": {
            "mimetype": "text/x-python",
            "nbconvert_exporter": "python",
            "version": "3.6.8",
            "name": "python",
            "file_extension": ".py",
            "pygments_lexer": "ipython3",
            "codemirror_mode": {
                "version": 3,
                "name": "ipython"
            }
        }
    },
    "nbformat": 4
}