Untitled2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'third_list = np.random.randint(1, high=100, size=1000)\\nfourth_list = np.random.randint(1, high=100, size=1000)\\nfifth_list = np.random.randint(1, high=100, size=1000)\\nsixth_list = np.random.randint(1, high=100, size=1000)'"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot  as plt \n",
    "first_list = np.random.randint(1, high=100, size=1000)\n",
    "second_list = np.random.randint(1, high=100, size=1000)\n",
    "\"\"\"third_list = np.random.randint(1, high=100, size=1000)\n",
    "fourth_list = np.random.randint(1, high=100, size=1000)\n",
    "fifth_list = np.random.randint(1, high=100, size=1000)\n",
    "sixth_list = np.random.randint(1, high=100, size=1000)\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = (first_list+second_list)#+ third_list+fourth_list+fifth_list+sixth_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111506860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(result)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}