{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 5 2 6\n",
      "1 5 3 7\n",
      "1 5 4 8\n"
     ]
    }
   ],
   "source": [
    "j = [1, 2, 3, 4]\n",
    "k = [5, 6, 7, 8]\n",
    "z = zip(j, k)\n",
    "for x, y in z:\n",
    "    for m, n in z:\n",
    "        print (x, y, m, n)\n",
    "# the resuls in python 3.6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 5, 1, 5)\n",
      "(1, 5, 2, 6)\n",
      "(1, 5, 3, 7)\n",
      "(1, 5, 4, 8)\n",
      "(2, 6, 1, 5)\n",
      "(2, 6, 2, 6)\n",
      "(2, 6, 3, 7)\n",
      "(2, 6, 4, 8)\n",
      "(3, 7, 1, 5)\n",
      "(3, 7, 2, 6)\n",
      "(3, 7, 3, 7)\n",
      "(3, 7, 4, 8)\n",
      "(4, 8, 1, 5)\n",
      "(4, 8, 2, 6)\n",
      "(4, 8, 3, 7)\n",
      "(4, 8, 4, 8)\n"
     ]
    }
   ],
   "source": [
    "p = [1, 2, 3, 4]\n",
    "q = [5, 6, 7, 8]\n",
    "z = zip(p, q)\n",
    "for x, y in z:\n",
    "    for m, n in z:\n",
    "        print (x, y, m, n)\n",
    "# the resuls in python 2.7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
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    "name": "ipython",
    "version": 2
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
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