{
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   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "l1=range(1,100000,3)+range(1,100000,5)\n",
    "l2=range(0,100000,7)+range(1,100000,9)"
   ]
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   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 12.1 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "comp1={_ for _ in l2 if _ not in l1}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 10.6 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "comp2=[_ for _ in l2 if _ not in l1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 14.4 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "comp3={_ for _ in l1 if _ not in l2}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 14.4 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "comp4=[_ for _ in l1 if _ not in l2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
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    "import numpy as np"
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   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 8 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "numpy_diff1=np.setdiff1d(np.array(l1),np.array(l2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 8 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "numpy_diff2=np.setdiff1d(np.array(l2),np.array(l1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7619, 7619, 30475, 34285, 30475, 7619)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(comp1), len(comp2), len(comp3), len(comp4), numpy_diff1.size, numpy_diff2.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": []
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