jsafrit · October 10, 2015 19:21
diff --git a/Tutorial1.ipynb b/Tutorial1.ipynb
 {
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simple Notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is some **markdown** text with $LaTeX$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f40aa1259b0>]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LC4985oorgJwc4PPPgQYNbEfjHStWAJUq6ZuZqCSLF2ehZs0s3Hcf0LVr7D8v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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f40abf362e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = linspace(0,10)\n",
    "y = sin(x)\n",
    "plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.4.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
 }
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"# Simple Notebook"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"This is some markdown text with $LaTeX$"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 1,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": [
	"Populating the interactive namespace from numpy and matplotlib\n"
	]
	}
	],
	"source": [
	"%pylab inline"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 2,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"[<matplotlib.lines.Line2D at 0x7f40aa1259b0>]"
	]
	},
	"execution_count": 2,
	"metadata": {},
	"output_type": "execute_result"
	},
	{
	"data": {
	"image/png": 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LC4985oorgJwc4PPPgQYNbEfjHStWAJUq6ZuZqCSLF2ehZs0s3Hcf0LVr7D8v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\n",
	"text/plain": [
	"<matplotlib.figure.Figure at 0x7f40abf362e8>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"x = linspace(0,10)\n",
	"y = sin(x)\n",
	"plot(x,y)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": []
	}
	],
	"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": "3.4.2"
	}
	},
	"nbformat": 4,
	"nbformat_minor": 0
	}
No results found