{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "d1 =>  24.21590386502226\n",
      "d2 =>  265.0744046489589\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Create 10 random data between 0 - 100.\n",
    "d1 = np.random.randint(0, 100, 10)\n",
    "\n",
    "# Create 10 random data between 0 - 1000.\n",
    "d2 = np.random.randint(0, 1000, 10)\n",
    "\n",
    "sd1 = np.std(d1)\n",
    "sd2 = np.std(d2)\n",
    "\n",
    "print(\"d1 => \", sd1)\n",
    "print(\"d2 => \", sd2)"
   ]
  }
 ],
 "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}