Lec 8 - Using arrays and scalars.ipynb

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   "cells": [
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     "cell_type": "code",
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     "input": [
      "import numpy as np\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
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     "prompt_number": 14
    },
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     "input": [
      "5/2"
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     "language": "python",
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       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "2.5"
       ]
      }
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     "prompt_number": 15
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     "cell_type": "code",
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     "input": [
      "#Takes care of floats\n",
      "from __future__ import division"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
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     "input": [
      "# Create array\n",
      "arr1 = np.array([[1,2,3],[8,9,10]])\n",
      "\n",
      "#Show\n",
      "arr1\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "array([[ 1,  2,  3],\n",
        "       [ 8,  9, 10]])"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Multiplying Arrays\n",
      "arr1*arr1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "array([[  1,   4,   9],\n",
        "       [ 64,  81, 100]])"
       ]
      }
     ],
     "prompt_number": 5
    },
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Subtraction\n",
      "arr1-arr1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "array([[0, 0, 0],\n",
        "       [0, 0, 0]])"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Arithmetic operations with scalars on array\n",
      "1 / arr1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "array([[ 1.        ,  0.5       ,  0.33333333],\n",
        "       [ 0.125     ,  0.11111111,  0.1       ]])"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Exponential operation\n",
      "arr1 ** 3"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "array([[   1,    8,   27],\n",
        "       [ 512,  729, 1000]])"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
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