enablex3/Week3_OpenSourceCourse.ipynb

## Week3_OpenSourceCourse.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<html><h1>My Jupyter on IBM Data Science Experience</h1></html>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<html><body><p><strong>Elijah Reyes</strong></p><p>Systems Architect</p></body></html>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<html><body><i>I am interested in data science because it is a challenging field that requires an artistic approach to analytics. I desire to use data science principals to better the planet.</i></body></html>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<html><h3>My code in cell 5 will output the result of \"1 + 1\" which is 2.</h3></html>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "print(1+1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<html><h4>Thanks for the following:</h4><ul><li>Intro to Jupyter</li><li>Intro to R Studio</li><li>Intro to Watson</li><li><strike>Intro to machine learning</strike></li><ul><img src=\"https://design-language-api.eu-de.mybluemix.net/images/usage-dont-stretch.svg\">"
   ]
  }
 ],
 "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": "3.5.2"
  },
  "widgets": {
   "state": {},
   "version": "1.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"<html><h1>My Jupyter on IBM Data Science Experience</h1></html>"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"<html><body><p><strong>Elijah Reyes</strong></p><p>Systems Architect</p></body></html>"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"<html><body><i>I am interested in data science because it is a challenging field that requires an artistic approach to analytics. I desire to use data science principals to better the planet.</i></body></html>"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"<html><h3>My code in cell 5 will output the result of \"1 + 1\" which is 2.</h3></html>"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 1,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": [
	"2\n"
	]
	}
	],
	"source": [
	"print(1+1)"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"<html><h4>Thanks for the following:</h4><ul><li>Intro to Jupyter</li><li>Intro to R Studio</li><li>Intro to Watson</li><li><strike>Intro to machine learning</strike></li><ul><img src=\"https://design-language-api.eu-de.mybluemix.net/images/usage-dont-stretch.svg\">"
	]
	}
	],
	"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": "3.5.2"
	},
	"widgets": {
	"state": {},
	"version": "1.1.2"
	}
	},
	"nbformat": 4,
	"nbformat_minor": 4
	}