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- {
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Capstone Project - Coursera IBM Data Science\n",
- "\n",
- "This notebook is created for the Coursera coursework. "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Import libraries**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Successfully imported!\n"
- ]
- }
- ],
- "source": [
- "import pandas as pd\n",
- "import numpy as np\n",
- "print('Successfully imported!')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Print greetings!**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Hello Capstone Project Course!\n"
- ]
- }
- ],
- "source": [
- "print('Hello Capstone Project Course!')"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.6.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
- }
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