Lecture-1-Introduction-to-Python-Programming.ipynb

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     "cell_type": "heading",
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     "metadata": {},
     "source": [
      "Introduction to Python programming"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "1./2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "0.5"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'Hello'\n",
      "print 'World'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Hello\n",
        "World\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n = 1\n",
      "n_cluster = 100"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "1*2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "2"
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     ],
     "prompt_number": 6
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "1>2"
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     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "False"
       ]
      }
     ],
     "prompt_number": 7
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "1==2"
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      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "False"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n = 1"
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     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n == 1"
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     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "True"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n != 1"
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     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "False"
       ]
      }
     ],
     "prompt_number": 11
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n = True"
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     "metadata": {},
     "outputs": [],
     "prompt_number": 12
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n"
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     "metadata": {},
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      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "True"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "True\n"
       ]
      }
     ],
     "prompt_number": 14
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n == False"
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     "metadata": {},
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      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "False"
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     "prompt_number": 16
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "True and True"
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      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "True"
       ]
      }
     ],
     "prompt_number": 17
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n = 10"
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     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n > 5 and n < 10"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "False"
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      }
     ],
     "prompt_number": 26
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n > 5 or n < 10"
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     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 27,
       "text": [
        "True"
       ]
      }
     ],
     "prompt_number": 27
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "not True"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "False"
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     ],
     "prompt_number": 28
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "not False"
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       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 29,
       "text": [
        "True"
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     ],
     "prompt_number": 29
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "not n > 5"
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     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 30,
       "text": [
        "False"
       ]
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     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "(1*2+5-9)*2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "-4"
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     ],
     "prompt_number": 32
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "not(n > 5 and n < 10)"
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      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 33,
       "text": [
        "True"
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     "prompt_number": 33
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n"
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     "metadata": {},
     "outputs": [
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       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "10"
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     "prompt_number": 34
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "2.3**3"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 38,
       "text": [
        "12.166999999999996"
       ]
      }
     ],
     "prompt_number": 38
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "2."
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     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 40,
       "text": [
        "2.0"
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     "prompt_number": 40
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "3./2"
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      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 43,
       "text": [
        "1.5"
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     "prompt_number": 43
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     "cell_type": "code",
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     "input": [
      "n=5.5\n",
      "m=2.1"
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     "prompt_number": 49
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n/m"
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       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 52,
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        "2.619047619047619"
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     "prompt_number": 52
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     "cell_type": "code",
     "collapsed": false,
     "input": [
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     "metadata": {},
     "outputs": [
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       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 53,
       "text": [
        "2.0"
       ]
      }
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     "prompt_number": 53
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n % m"
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     "language": "python",
     "metadata": {},
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      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 54,
       "text": [
        "1.2999999999999998"
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     "prompt_number": 54
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "round(n % m, 3)"
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     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 55,
       "text": [
        "1.3"
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     "prompt_number": 55
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "round(2.33333333, 3)"
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       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "2.333"
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     "prompt_number": 1
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     "cell_type": "code",
     "collapsed": false,
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      "1+2j"
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     "metadata": {},
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       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 56,
       "text": [
        "(1+2j)"
       ]
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     "prompt_number": 56
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "1+2j+3+3j"
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     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 57,
       "text": [
        "(4+5j)"
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "(3+3j)/(3+3j) # commentkshjfsdhfsjdhfksjhdfjshdkfs sdf"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 67,
       "text": [
        "(1+0j)"
       ]
      }
     ],
     "prompt_number": 67
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# comment"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 64
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "type('32121311')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 78,
       "text": [
        "str"
       ]
      }
     ],
     "prompt_number": 78
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n = n + 1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 79,
       "text": [
        "False"
       ]
      }
     ],
     "prompt_number": 79
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 80,
       "text": [
        "5.5"
       ]
      }
     ],
     "prompt_number": 80
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n = n+1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 81
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "6.5\n"
       ]
      }
     ],
     "prompt_number": 82
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n += 1  # same as n = n + 1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 83
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 84,
       "text": [
        "7.5"
       ]
      }
     ],
     "prompt_number": 84
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n %= 2  "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 91
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 92,
       "text": [
        "1.0"
       ]
      }
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     "prompt_number": 92
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     "cell_type": "code",
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     "input": [
      "#  n ?= m  same as n = n ? m"
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     "metadata": {},
     "outputs": [],
     "prompt_number": 93
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    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "List"
     ]
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a = [1,2,3.3,'salam', True]\n"
     ],
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     "metadata": {},
     "outputs": [],
     "prompt_number": 9
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print a"
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     "metadata": {},
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[1, 2, 3.3, 'salam', True]\n"
       ]
      }
     ],
     "prompt_number": 98
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[0]"
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     "language": "python",
     "metadata": {},
     "outputs": []
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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'a'"
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     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "a\n"
       ]
      }
     ],
     "prompt_number": 1
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print len(a)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "5\n"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "[1, 2, 3.3, 'salam', True]"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Slicing "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[:]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "[1, 2, 3.3, 'salam', True]"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[1:]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "[2, 3.3, 'salam', True]"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[:2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "[1, 2]"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[:-2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "[1, 2, 3.3]"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[-2:]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "['salam', True]"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[True]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 29,
       "text": [
        "5"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[2] = 3"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 31,
       "text": [
        "[2, 5, 3, 'salam', True]"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[-2:]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "['salam', True]"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[::1]"
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     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 38,
       "text": [
        "[2, 5, 3, 'salam', True]"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[1::2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "[5, 'salam']"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[1:4:2]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 40,
       "text": [
        "[5, 'salam']"
       ]
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a[4] = 10"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 43
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a.append(1000)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 44
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 45,
       "text": [
        "[2, 5, 3, 'salam', 10, 1000]"
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Generating Random Numbers"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import random"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "random.random()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "0.08983522464152116"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "b=[1,2,3]\n",
      "for i in b:\n",
      "    print i"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1\n",
        "2\n",
        "3\n"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "range(1, 5, 2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 55,
       "text": [
        "[1, 3]"
       ]
      }
     ],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for i in range(10):\n",
      "    print i"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0\n",
        "1\n",
        "2\n",
        "3\n",
        "4\n",
        "5\n",
        "6\n",
        "7\n",
        "8\n",
        "9\n"
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "N = 10\n",
      "\n",
      "for i in range(N):\n",
      "    print random.random()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0.103289909552\n",
        "0.682929975765\n",
        "0.963602277015\n",
        "0.803092214396\n",
        "0.25610793529\n",
        "0.748715252132\n",
        "0.468792883127\n",
        "0.416825137702\n",
        "0.665525589129\n",
        "0.873334132457\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "f = []\n",
      "\n",
      "for i in range(N):\n",
      "    f.append(random.random())"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "f"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "[0.6608540832652327,\n",
        " 0.4680855113952156,\n",
        " 0.8463450562046385,\n",
        " 0.2533395597063336,\n",
        " 0.18899862392946676,\n",
        " 0.3475653521179626,\n",
        " 0.2736261177755651,\n",
        " 0.8288362304354067,\n",
        " 0.7531022918728664,\n",
        " 0.3969210821362865]"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Plotting in IPython"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pylab\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pylab.plot(f)\n",
      "pylab.xlabel('Label of x axis')\n",
      "pylab.ylabel('Label of y axis')\n",
      "pylab.title('TITLE')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "<matplotlib.text.Text at 0xa209668>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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KfEBwKp1ltAoVrNLYjBmZUWNZCjd9ul19VqrkdSQS078/tGhhVceccDImUBt4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\n",
       "text": [
        "<matplotlib.figure.Figure at 0xa16a0f0>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pylab as plt\n",
      "yy = [1,2,3,7,2,1]\n",
      "bb = len(yy)\n",
      "xx = range(bb)\n",
      "pylab.plot(xx,yy)\n",
      "# pylab.xlim(4,12)\n",
      "# plt.ylim(4,6)\n",
      "plt.xticks([2,4,6,8],['do', 'chahar', 'shish', 'hasht'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "([<matplotlib.axis.XTick at 0xa6bf0b8>,\n",
        "  <matplotlib.axis.XTick at 0xa33ef28>,\n",
        "  <matplotlib.axis.XTick at 0xa6ef6d8>,\n",
        "  <matplotlib.axis.XTick at 0xb3d30b8>],\n",
        " <a list of 4 Text xticklabel objects>)"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0xa6ef2e8>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pylab.plot(xx,yy)\n",
      "plt.xticks([2,4,6,8],[10,12,14,16])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "([<matplotlib.axis.XTick at 0xb31e240>,\n",
        "  <matplotlib.axis.XTick at 0xb27d080>,\n",
        "  <matplotlib.axis.XTick at 0xa22b080>,\n",
        "  <matplotlib.axis.XTick at 0xb5eba90>],\n",
        " <a list of 4 Text xticklabel objects>)"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0xa22b198>"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}