{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Queues Overview\n",
    "\n",
    "In this lecture we will get an overview of what a Queue is, in the next lecture we will implement our own Queue class."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "____\n",
    "A **queue** is an ordered collection of items where the addition of new items happens at one end, called the “rear,” and the removal of existing items occurs at the other end, commonly called the “front.” As an element enters the queue it starts at the rear and makes its way toward the front, waiting until that time when it is the next element to be removed.\n",
    "\n",
    "The most recently added item in the queue must wait at the end of the collection. The item that has been in the collection the longest is at the front. This ordering principle is sometimes called **FIFO, first-in first-out**. It is also known as “first-come first-served.”\n",
    "\n",
    "The simplest example of a queue is the typical line that we all participate in from time to time. We wait in a line for a movie, we wait in the check-out line at a grocery store, and we wait in the cafeteria line. The first person in that line is also the first person to get serviced/helped. \n",
    "\n",
    "Let's see a diagram which shows this and compares it to the Stack Data Structure:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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if9Y2cTP+MzDmslE2wSZMiN2db0IxyiZ2eu7q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\n/zJo8CiYEQ8fNv5888MbKncC/j/NTDKNxmc3QQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "url = 'https://netmatze.files.wordpress.com/2014/08/queue.png'\n",
    "Image(url)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note how we have two terms here, **Enqueue** and **Dequeue**. The enqueue term describes when we add a new item to the rear of the queue. The dequeue term describes removing the front item from the queue.\n",
    "\n",
    "Let's take a look at how pop and push methods would work with a Queue (versus that of a Stack):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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/8XR/wtj4Wf8ARS/Bn/g9tv8A4us+iq9j5mP17+7+Jof8LY+Fn/RS/Bn/AIPb\nb/4uj/hbHws/6KX4M/8AB7bf/F15J8adO1WaXQdR/t6aDTLbXdLA06CIKJ5GvI1LTSEkuoB+VAFA\nIyd3GPS6ao3jzX6tfl/mVLGWtoaH/C2PhZ/0UvwZ/wCD22/+Lo/4Wx8LP+il+DP/AAe23/xdZ9FL\n2PmT9e/u/idH4b8b+C/Et89j4c8X+H9Zu44jM8FhqUNxIqAgFyqMSFyyjPTJHrXB/GTXNF0D4o+E\nLzXdX0/SrZ9E1eJZr25SFGcz6cQoZyATgE49j6VY0T/kt+hf9i3q3/pTptWPiN/yV3wn/wBgHWP/\nAEo02pUeWdjaVT2lBysc7/wsr4c/9D/4U/8ABxb/APxdH/Cyvhz/AND/AOFP/Bxb/wDxddXRXRqe\nXePY5T/hZXw5/wCh/wDCn/g4t/8A4uufu/F3gSb4i6b4jX4h+DhaWulXVm6HWYPMLyywOpA3YxiJ\ns855HB7elMMqQCRkdR2rx3WvCmg6J4l8OaP4St5rjxiNQivb7VS+br7IZN08l5KoG5ZAGRUbgkja\nAF4SbU4/1vp+CbbLjy8r/r+tbI7j/hZXw5/6H/wp/wCDi3/+Lo/4WV8Of+h/8Kf+Di3/APi66uin\nqRePY5T/AIWV8Of+h/8ACn/g4t//AIutL4N65ouv/FHxfeaFq+n6rbJomkRNNZXKTIrifUSVLISA\ncEHHuPWtmq3w5/5K74s/7AOj/wDpRqVZ1L8p04S3tNDB8eeJfDnh7436v/wkGv6VpH2jw3pfk/br\nyODzNtzqO7bvIzjcM46ZHrUf/Cyvhz/0P/hT/wAHFv8A/F1ta3/yW/Xf+xb0n/0p1KtGnTvyixNv\nau5yn/Cyvhz/AND/AOFP/Bxb/wDxdUfEPxJ8INoV8ug/EDwSuqmBxaNdazCIVlx8pfaxOAeeBXc1\nBqFu11YXFqlzPatNE0YngIEkRIxuUkEbh1GQRntTkm4tGMXFSTseP/DnxhoXh8C2v/Efw5Jun83U\n9UXxqtxd3Mu3HmMrW6A9AAu5VVeFGABXef8ACyvhz/0P/hT/AMHFv/8AF1yum6Tp/hb4qaHY6Xo7\n6BZS209tLevsP9uzbFdQ5jJLSKFkcyTbWJ3BchmNeq1S1S/r+vwCfLfY5T/hZXw5/wCh/wDCn/g4\nt/8A4uj/AIWV8Of+h/8ACn/g4t//AIuuroo1JvHsO/Z7uba9+Ga3lncRXNtPresywzROHSRG1S6K\nsrDgggggjrXnfhbxv4L0ePWtO1bxf4f0+9h8Sa15lvdalDFImdTuWGVZgRkEHnsRXpXwI/5J/J/2\nHtb/APTrdVyvw/8A+QXq3/Yya3/6dLqsKfxM9DE29krlb/hZXw5/6H/wp/4OLf8A+Lo/4WV8Of8A\nof8Awp/4OLf/AOLrq6K31PPvHseU/E3xxoer6LBp/hj4i+CYhLcL/aHm+JY7WR7cA7o45UWQozHA\nLAZAzgg4It+CfiD4P0/Tl0y8174c6LY2kax2cOm+KI7lQozkENHFtxx03Zyc479p4r0K08Q6dHY6\ng1w1mkyzTW0TKEu1XJ8mQEfNGTjK5GcYPBIPI/CLZaa54o0pNNPh+GOeCe10Bgn+hxPHjzB5ZMQE\njo52xswBUk4ZiKmN02v6/rfT1fU0bi4LTb+v6+Wptf8ACyvhz/0P/hT/AMHFv/8AF0f8LK+HP/Q/\n+FP/AAcW/wD8XXV0VWpnePY8v+K3xB8BXvwu8WWdn438NXNzPol5FDDFqsDvI7QOFVVDZJJIAA61\n7B8dv+SIePP+xb1H/wBJpK4T4x/8ki8Zf9gG+/8ASd67v47f8kQ8ef8AYt6j/wCk0lYVdz0cHbld\njhP+FlfDn/of/Cn/AIOLf/4uj/hZXw5/6H/wp/4OLf8A+Lrq6K31POvHscp/wsr4c/8AQ/8AhT/w\ncW//AMXXPa98R9It9YW90H4geAtQs3g8uTT7/wAQQ2qxyBiRKkqJIxyDtKMMcAgjkH0yvP8A4w3t\n5qGi3/hPRbuS2uptPludQuojhrS1Ct0PZ5CpRfbew+7WdWThHm7f1+X+e5rSjGUuW39f19+xB4G8\nV/Dnw3oA09viN4TnmkuZ7ueRdWgVTLNK0rhRv4UFyAPQc81uf8LK+HP/AEP/AIU/8HFv/wDF1a+G\nX/JOPDX/AGCbX/0UtdDW04uMnHtoYqakuZ9df60OU/4WV8Of+h/8Kf8Ag4t//i6yPFPjfwXrEei6\ndpPi/wAP6hezeJNF8u3tdShlkfGp2zHCqxJwATx2Br0Kud+IH/IL0n/sZNE/9OlrUSvZmtLl516n\nSftCXNtZfDNry8uIra2g1vRpZppXCJGi6palmZjwAACST0rkv+FlfDn/AKH/AMKf+Di3/wDi67P4\n7/8AJP4/+w9on/p1tar1nS2OnGW5lc5T/hZXw5/6H/wp/wCDi3/+Lo/4WV8Of+h/8Kf+Di3/APi6\n6uitdTivHseNeJPFml6zpuseF7v4j+ALrRtU82P+0ZNdhS6toJOsYgVNjlQSquZF4IJBIO7uIPiN\n8N4YUhTx94V2IoVc6zATgDHXfXFfEy9vNf8AE3h66s7uSLQtI8TWdsQh+W+ujJh8+qRYK8dXLf3B\nn2Kpp6xv52+5Jr8/16mlSyaT9fvev5fLY5T/AIWV8Of+h/8ACn/g4t//AIuj/hZXw5/6H/wp/wCD\ni3/+Lrq6KrUzvHscx4D8S+HPEPxv0j/hH9f0rV/s/hvVPO+w3kc/l7rnTtu7YTjO04z1wfSvUfE/\nizwr4X+z/wDCTeJdF0T7Tu+z/wBo30Vv5u3G7bvYbsblzjpketcJon/Jb9C/7FvVv/SnTasfEb/k\nrvhP/sA6x/6UabXPJXnY9OlPkocyNn/hbHws/wCil+DP/B7bf/F0f8LY+Fn/AEUvwZ/4Pbb/AOLr\nPoqvY+Zl9e/u/iaH/C2PhZ/0UvwZ/wCD22/+Lo/4Wx8LP+il+DP/AAe23/xdZzEKCSQAOST2rx+e\n8vdf+MPg3xKLqVdFklvbbS7cH5JkW3YtdHj+M8L/ALCg/wAZpey13/r+v60KWMum+X8T3H/hbHws\n/wCil+DP/B7bf/F0f8LY+Fn/AEUvwZ/4Pbb/AOLrPop+x8yfr3938TQ/4Wx8LP8Aopfgz/we23/x\nddB4b8Q6B4lsXvvDmuaZrNpHKYXnsLtLiNXABKFkJAbDKcdcEetcfSfBj/kKeP8A/sZI/wD012FT\nOnyq5rRxPtZWtY9EooorM6gooooA+cP2J/8Ambv+3L/2vX0fRRXNhMP9Xoqle9v87ns8Q5v/AGzm\nNTG8nJz20ve1opb2Xa+wUUUV0njBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBw3x1iuZfh27\nWtle3rwavpNy8VnbSXEpji1G2kkZY4wXbaisxCgnANcn/wAJhYf9ATxn/wCEhqn/AMj17LRVxm47\nGNWhGq7s8a/4TCw/6AnjP/wkNU/+R6P+EwsP+gJ4z/8ACQ1T/wCR69loqvayMvqVPuz558e6/oeq\naZYWt6nijSwurWU8LT+E9SHnyRTpIsKBoV3O+zAAyepwcGuh/wCEwsP+gJ4z/wDCQ1T/AOR68k/a\nZ8cz618TFs9MupIbfw45ht5YyUcXIYGWRTgMpDKqDkj93uB+avpj4V+LYPG3gbT9ejMYuJE8u8iT\nH7qdeHXG5ioJ+ZQTnayk9a4MNmirVp0V0f37J/kfWZxwRVy3LMNj5t/vFqv5b6x6dVv2ehwX/CYW\nH/QE8Z/+Ehqn/wAj0f8ACYWH/QE8Z/8AhIap/wDI9ey0V3+1kfJ/UqfdnkHge9fWfjDpl9a6R4gt\n7S08P6jDNPf6Jd2UYeS4sCiBp40DMRFIcDJwpq78W55dO+I3hbVn0vWruyj0jVLaSTTtKub3y5JJ\nrBkVhAjldwikIJAB2mvUqKjmd7myoxVPk6HjX/CYWH/QE8Z/+Ehqn/yPR/wmFh/0BPGf/hIap/8A\nI9ey0VftZGP1Kn3Z4vN4vs2hdYtH8ZJIVIVj4O1Rgp7HH2fn6V534Hu9R8M3raWutXN7fzuL7URL\n8OdXGo3qsxBlY+YTjjYG2FE+VQOgr6ouriC0tZbq6njgt4UMkssjhURQMlmJ4AAGSTXxRrPxQ1K5\n+NC/EG3EjJbXQFrbOcYtACnlc7whZC24rkBnZhXBjcyWEcW1q/y6/wBdT6vhfgypn3to020oRb6a\ny+ytuut30R7t/wAJhYf9ATxn/wCEhqn/AMj0f8JhYf8AQE8Z/wDhIap/8j165pV9a6pplpqdjL51\npdwpPBJtK70dQynBAIyCOCM1ZruVZtXR8rLARg3GV00eNf8ACYWH/QE8Z/8AhIap/wDI9afwknl1\nH4jeKdWTS9atLKTSNLto5NR0q5svMkjmv2dVE6IW2iWMkgEDcK9SopSqOSsVTw0acuZHkHji9fRv\njDqd9daR4guLS78P6dDDPYaJd3sZeO4vy6FoI3CsBLGcHBwwqH/hMLD/AKAnjP8A8JDVP/kevZaK\ncajSsKphYTlzM8a/4TCw/wCgJ4z/APCQ1T/5HqtqfiXTr/TrmxfS/HcC3ETRGW38K6rHKm4Y3Iwt\n8qw6gjoa9url/ip4tg8E+BtQ16Qxm4jTy7OJ8fvZ24RcblLAH5mAOdqsR0qalflg5S2NcJlTxNeF\nGjdyk0l6vY8N0LU4dT1CwvNZ1HX/ABCmg3DrbLY+CNTjeO5VGib7SQkmZVVj8uI8Ft23lcdr/wAJ\nhYf9ATxn/wCEhqn/AMj15J+zN45n0X4mNZ6ndSTW/iNxDcSyEu5uSxMUjHBZiWZkPIH7zcT8tfYF\ncuBzH61S5ra31/r0Pe4q4R/sLGrDyk5RcU4vv36dJX07WfU8a/4TCw/6AnjP/wAJDVP/AJHo/wCE\nwsP+gJ4z/wDCQ1T/AOR69lort9rI+a+pU+7OG+BUVzF8O0a6sr2yefV9WuUivLaS3lEcuo3MkbNH\nIA67kZWAYA4IrgPD2sjQxrGnajoPi1Z18QavMDD4Y1CeN0k1C4kjdZI4GRlZHVgQSMGveKKiMmnc\n2qUYzios8a/4TCw/6AnjP/wkNU/+R6P+EwsP+gJ4z/8ACQ1T/wCR69loq/ayMfqVPuzwTxPri6na\nQf2bF450u9tp1nhlXwfqzxMQCCksYhXzIyCcrkc4IIIBqr4a1CCx1W91zV7LxZqGs3sUUEs1v4H1\nW3hSKMuURIzE5Xl2JJckk9gAB9C0UlUadx/VIWtdnjX/AAmFh/0BPGf/AISGqf8AyPR/wmFh/wBA\nTxn/AOEhqn/yPXstFP2shfUqfdnz18StfTWPhz4m0nTvD3jOe9vdIura3j/4RLU13yPCyquTbgDJ\nIGSQK9Z+M9pdX/we8aWNjbTXV3c+H7+GCCGMvJK7W7hUVRyzEkAAckmusoqJSctzalRjSVkeNf8A\nCYWH/QE8Z/8AhIap/wDI9H/CYWH/AEBPGf8A4SGqf/I9ey0VftZGP1Kn3Z41/wAJhYf9ATxn/wCE\nhqn/AMj1yfj2T4c6vY3l94l8IX0c0kH2f+1NT8D3v7jd8qEyyW42gMwxlhye1fSNfOH7YHjX/jz8\nDafcel3qWx/+/UTYb6uVZf8AnkwNcmOxio0JSkj3eGuG3m+Y08LBtJ6yatpFat7fJedjR8E3+h+F\nfCunaDYeH/FaRWcCxs0HgnU4llcAbpCot+CxyT15PU1s/wDCYWH/AEBPGf8A4SGqf/I9XP2XPGP/\nAAkvw8TSbl83+hbLV+PvQEHyW4UAfKpTGSf3eT96vWa2o4z6xBVV1OHNMgeV4ypg6t+aDt69n81Z\n/M8a/wCEwsP+gJ4z/wDCQ1T/AOR6zPEOsjXBo+nadoPi1p28QaRMTN4Y1CCNEj1C3kkdpJIFRVVE\nZiSQMCveKK0dVtWOGOEhFpps4b46xXMvw7drWyvb14NX0m5eKztpLiUxxajbSSMscYLttRWYhQTg\nGuT/AOEwsP8AoCeM/wDwkNU/+R69lopRm47GlWhGq7s8a/4TCw/6AnjP/wAJDVP/AJHo/wCEwsP+\ngJ4z/wDCQ1T/AOR69loqvayMvqVPuz5e8WeGPh3rj2ssfgDU7OePUYry4lX4dXzNcqrbnjc/ZgSH\n7k59wa7qPxbpsaLHHoXjFEUAKq+D9UAAHYf6PXs9FKNRxVkOWEhLVtnjX/CYWH/QE8Z/+Ehqn/yP\nR/wmFh/0BPGf/hIap/8AI9ey0U/ayF9Sp92eQeB719Z+MOmX1rpHiC3tLTw/qMM09/ol3ZRh5Liw\nKIGnjQMxEUhwMnCmrvxbnl074jeFtWfS9au7KPSNUtpJNO0q5vfLkkmsGRWECOV3CKQgkAHaa9So\nqOZ3ubKjFU+ToeNf8JhYf9ATxn/4SGqf/I9H/CYWH/QE8Z/+Ehqn/wAj17LRV+1kY/UqfdnjEni3\nTZY2jk0Hxi6OCrK3g/VCCD1BH2euFvPDHw8fxLoesWHgDU9PGlzSSvDB8Or5ftBZMJki2GCjYYHB\n5HGOtfUNFL2j3GsJBaXZ41/wmFh/0BPGf/hIap/8j0f8JhYf9ATxn/4SGqf/ACPXstFP2shfUqfd\nnjX/AAmFh/0BPGf/AISGqf8AyPW/8DjPOfGWovp+p2UF94gWa2F/YTWkkiLp9lGXEcyq+3fG65xg\nlTXo1FTKbkrM0pYeNN3QUUUVBuFFFFABRRRQAUUUUAFFFFABRRRQAV4n8TfEPjHxj8Wl+EPgbWn8\nNwWunfb/ABDrcUQkuIopPlSCHP3HbcDvB3DIII2kN7ZXz++rWPw6/a41u78Tzpp2k+NtJtv7P1C4\nfZALm3ARoS5+VSRzyepUdWFEUpVIxe2v32dl9/37dQbtCTXS35q/4X9NxPGfw5+IHw40S58Z/D74\np+MtdutLha4u9I8T339oW99AhDuifKpjfarfMvzHoCuST2l/8aPDWnfCTw78R72y1F9P1x7eGOC1\nVJJIpZQcq25kBCsrKSPTgVm/Gz41eFvBNj4h0LWbXWLTUxYuul+dp0ot9UleL7kEoBVtpdA+SMFu\n+DjyP4qeG9Q8IfsWeBNK1eF7e40/VLG5vlcYNv5kkjkMOxUyBT706T5n723NFX9W0/09PmOUdNN7\nSf3JNfr6/I+jvHnj/RvBmteGNJ1S2v5p/Emorp1m1siMschxgybmBC8jkAn2rJ+Jfxf8M+B9ctPD\nr2Gu+IvEN0nmx6PoNibu7EWGJlZcgBRt9c9wCMkeeftM6vpdx8Vfgpp9vqFrNdP4lhu1ijkDMYCy\nBZOP4ScgHocHGcGuYTSvGF9+1t8QtO0T4mQ+BtWvYLKWzSXRIL1tRtlgGfK81hjZtOQvXkkfKcTG\n7dvOX4KOn3t38kxyso3XZfjJr8vxaPafB/xi8J+JtD16+t4NX0/UPD9vJcapoupWn2fULZFVmGY2\nODuC5GGI5GSCcVPF8VvD0nwXPxXWz1T+xBaG78gxR/adgcpjbv25yP73SvG4/Ct1B8SPGkmtfF2L\nxp4yg8FXlpc6fb+HEsykDrlPMliYxhgxGFb5yGHasyHXNHg/4J1Ksup2iNLpz2KKZRua4Nwx8oDq\nXwCcdcAnpzROS9jKa3SX48y/RfPS46cb1YxezbX/AKS/1fy1Pe/FXxV8IeGPh3pvjjWrm4trLVLe\nKawtRFvurl5I/MSFEUkFyDjrtB6sBzWR4L+N3hvxB4pt/DGp6B4s8H6tegnT7fxJpZszfYzuER3M\nCRgZBIzkAZ7eJfFSPUk/4Z5vIvFMPhK0TSPKi1u4sY7mGzuWtIdm9ZCE+bGAWxt5bPHHSfEHwV4j\ng8U+CbX4kftBw38/9vW9zo9gPB8KTT3EbDAUwNvVecFj8gyN3atOVe0s9uZr7nb7+vpb1Mm3yXW/\nLf8AP8Onk7n0zRRRUFBVbVYbq40y7t7G8+xXcsLpBc+UJPJcqQr7Tw2Dg4PBxirNFJq+hUZOMlJd\nPmfOnxN8HeH/AAZ42+Emm6DYRwAasFmnKgzXBE9sd0jgZY5Zj6DOAAOK9j8H+CtN8JaxqdzoMslt\np2pv502mnmGGYYG+EAgRgjduXBz8mCoTafPP2hv+SnfCf/sNH/0da17XXn4ajBV6lls1by91H2Od\nZjip5Vg3Oo37SM+a7vzfvZNXv1XR9OgUUUV6J8YFFFFABRRRQBieNtA/4Sjw9PoMmoXNhaXfyXcl\nsdszRc5RG6Lk7Q2QwK7lx82R862vhnw/bftbxeGo9Gsm0aJAi2UkIkiIGnbhuDZ3Hd8xJySeSc81\n9S184f8AN7v+f+gbXl5jTi5UpW15or8z7zgzGV40sdSUmoqhVkktNfd19ez6dD3DwJ4Yg8IaPNot\nhdSS6at1JLYwSKM2sb4YxburgOZGDNzhgCTjJ36KK9KEVBKMdj4mvXqYipKrVd5PVvu+7831fV6v\nUKKKKoxCiiigArl/GHgrTfFusaZc69LJc6dpj+dDpo4hmmORvmBJEgA27VwMfPksH2jqKKmcIzVp\nK6N8NiauGn7SjLllrqt9dNO3qtT5R/Zf8HeH/Gej+MdN16wjnBS0WGcKBNbk+cd0bkZU5VT6HGCC\nOK+pdKhurfTLS3vrz7bdxQok9z5Qj85woDPtHC5OTgcDOK+ef2J/+Zu/7cv/AGvX0fXm5RCKw0ZJ\na6/mz7PxDxNWWeV6EpXinFpdm4RvbtfrbeyvsFFFFeofChRRRQAUUUUAFFFFABRRRQAUUUUAFFFF\nABXzZ+0x4K03w/4JbX5JZNQ13Vtdie8vpuSB5E37qIEkxwggYTLEAKCzbVx9J14p+2R/yTHTv+w1\nF/6JnrgzOEZYaTa2R9bwRiatLOaFOErKckn5pa29L629Oxv/AAr8EaTbaV4M8XaQkel3x0KGHUVg\ngUJfxyQq3zjHDiQI/mDk4KnIIx6ZXN/Cz/kmPhX/ALAtn/6JSukrow8IwprlW/8AkeNnOJq4jGT9\nrK/K2lftzPTz369NNkgooorc8sKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK\nKKACiiigAooooAKKKKACiiigAooooAKx/GPhbw74w0OXRPFGjWerafLnMNzGG2sVK70PVHAY4ZSG\nGeCK2K8v+Ifxp0jwd45HgweD/GniPVvsK35TQdNW72wsxTJHmBhgjk4xyOeal2ej6jV90Z0H7Mfw\nNgWUJ4EiPmxmNt+o3b4BIOV3SnaeOowevPJrs9K+HugW3w4PgHVH1DxHo7RNDL/bN01zNKhbIBfj\nG3gLtxt2rjBGa5rwr8Zv7f8AEVlo3/CqfinpX2uXy/tmpeHvJtoePvSP5h2r74r1Orabjrs/6/Ul\nNX03R5p4d+A3wl8PSWMuj+Dre1msNQTUbeYXU7SLOgwjF2csyjsjErkk4yTW38SPhj4D+IsNvH4y\n8N2uqNbNmGUu8UyDn5RJGyvt5J25wTg4yBXYUUnruNabHLfDr4d+C/h5p02n+DfD9rpUM7bpmQtJ\nJKRnG+RyzsBk4BJAycYzXLj9nr4NLqOpagvgWxWfUo5Y7gieYKFk+/5ab9sR7AxhSASBgEivUa5v\nWvGui6T470DwXcm5bVtdjuJbVY48oqQoXdnYkY6YAGTnsBzQ/eeu+34f5fgCVlp6j9W8E+FNX8Fx\n+DNU0O1vtBitktorScFxGiJsTaxO4Mo6ODuB5BzzXO/D/wCCfwt8Ba0da8K+Ebay1HaVS5knmuHj\nBBB2GV22EgkErgkHB4r0Oind3curBq6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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url2 = 'http://www.csit.parkland.edu/~mbrandyberry/CS2Java/Lessons/Stack_Queue/images/QueuePushPop.jpg'\n",
    "Image(url2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "You should now have a basic understanding of Queues and the FIFO principal for them. In the next lecture we will implement our own Queue class!"
   ]
  }
 ],
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    "version": 2
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
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