my+first+class+in+python.ipynb

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     "data": {
      "text/plain": [
       "'multiple lines of comments are being shown here'"
      ]
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   "source": [
    "#comments in Python\n",
    "'''multiple lines of comments are being shown here'''"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "# Important\n",
    "this is a markdown and not a code window\n"
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       "67"
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   "source": [
    "66-3-(-4)"
   ]
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    "32*3"
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    "2**3"
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    "2^3"
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    "43/3"
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  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "import math as mt"
   ]
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   "cell_type": "code",
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    "collapsed": false
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   "outputs": [
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       "7.38905609893065"
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     "execution_count": 10,
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    "mt.exp(2)"
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    "mt.log(10)"
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   "cell_type": "code",
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       "2.718281828459045"
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   "source": [
    "mt.exp(1)"
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   "cell_type": "code",
   "execution_count": 14,
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    {
     "data": {
      "text/plain": [
       "3.0"
      ]
     },
     "execution_count": 14,
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   ],
   "source": [
    "mt.log(8,2)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "31.622776601683793"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mt.sqrt(1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
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       "21.123150806638673"
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     "execution_count": 18,
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   "source": [
    "np.std([23,45,67,78])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
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    {
     "data": {
      "text/plain": [
       "['__doc__',\n",
       " '__loader__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__spec__',\n",
       " 'acos',\n",
       " 'acosh',\n",
       " 'asin',\n",
       " 'asinh',\n",
       " 'atan',\n",
       " 'atan2',\n",
       " 'atanh',\n",
       " 'ceil',\n",
       " 'copysign',\n",
       " 'cos',\n",
       " 'cosh',\n",
       " 'degrees',\n",
       " 'e',\n",
       " 'erf',\n",
       " 'erfc',\n",
       " 'exp',\n",
       " 'expm1',\n",
       " 'fabs',\n",
       " 'factorial',\n",
       " 'floor',\n",
       " 'fmod',\n",
       " 'frexp',\n",
       " 'fsum',\n",
       " 'gamma',\n",
       " 'gcd',\n",
       " 'hypot',\n",
       " 'inf',\n",
       " 'isclose',\n",
       " 'isfinite',\n",
       " 'isinf',\n",
       " 'isnan',\n",
       " 'ldexp',\n",
       " 'lgamma',\n",
       " 'log',\n",
       " 'log10',\n",
       " 'log1p',\n",
       " 'log2',\n",
       " 'modf',\n",
       " 'nan',\n",
       " 'pi',\n",
       " 'pow',\n",
       " 'radians',\n",
       " 'sin',\n",
       " 'sinh',\n",
       " 'sqrt',\n",
       " 'tan',\n",
       " 'tanh',\n",
       " 'trunc']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(mt)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "int"
      ]
     },
     "execution_count": 21,
     "metadata": {},
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   ],
   "source": [
    "type(1)"
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    {
     "data": {
      "text/plain": [
       "str"
      ]
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     "execution_count": 22,
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   "source": [
    "type(\"Ajay\")"
   ]
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  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
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    {
     "data": {
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       "list"
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   "source": [
    "type([23,45,67])"
   ]
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  {
   "cell_type": "code",
   "execution_count": 25,
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    "collapsed": true
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   "outputs": [],
   "source": [
    "a=[23,45,67]"
   ]
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   "cell_type": "code",
   "execution_count": 32,
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    "collapsed": false
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    {
     "data": {
      "text/plain": [
       "3"
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     "execution_count": 32,
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     "output_type": "execute_result"
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   "source": [
    "len(a)"
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   "cell_type": "code",
   "execution_count": 31,
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    "collapsed": false
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     "data": {
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       "17.962924780409974"
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     "execution_count": 31,
     "metadata": {},
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   "source": [
    "np.std(a)"
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   "cell_type": "code",
   "execution_count": 28,
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    "collapsed": false
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    {
     "data": {
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       "322.66666666666669"
      ]
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     "execution_count": 28,
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   ],
   "source": [
    "np.var(a)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1234567891234567766543210876543211"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "123456789123456789*9999999999999999"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "np.random??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from random import randrange,randint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "78\n"
     ]
    }
   ],
   "source": [
    "print(randint(0,90))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "286"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "randrange(1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2472965195555081\n",
      "6352816454724336\n",
      "4809973335770632\n",
      "5246909950815852\n",
      "6348106781629098\n",
      "2586909203145681\n",
      "2509370301745813\n",
      "4082241628288070\n",
      "7691514263873286\n",
      "8069700113941950\n"
     ]
    }
   ],
   "source": [
    "for x in range(0,10):\n",
    "    print(randrange(10000000000000000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def mynewfunction(x,y):\n",
    "    taxes=((x-1000000)*0.35+100000-min(y,100000))\n",
    "    print(taxes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "420000.0\n"
     ]
    }
   ],
   "source": [
    "mynewfunction(2200000,300000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os as os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "os??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "6\n",
      "12\n",
      "18\n",
      "24\n"
     ]
    }
   ],
   "source": [
    "for x in range(0,30,6):\n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def mynewfunction(x,y):\n",
    "    z=x**3+3*x*y+20*y\n",
    "    print(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200\n",
      "596\n",
      "2288\n",
      "6572\n",
      "14744\n"
     ]
    }
   ],
   "source": [
    "for x in range(0,30,6):\n",
    "    mynewfunction(x,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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