Vectorization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
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   "source": [
    "import numpy as np\n",
    "import time"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = np.random.rand(10000000)\n",
    "b = np.random.rand(10000000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vectorization time :  0.015958786010742188\n"
     ]
    }
   ],
   "source": [
    "start = time.time()\n",
    "c = np.dot(a, b.T)\n",
    "end = time.time()\n",
    "\n",
    "print(\"Vectorization time : \", end-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vectorization time :  4.1439173221588135\n"
     ]
    }
   ],
   "source": [
    "start = time.time()\n",
    "c = 0\n",
    "for i in range(len(a)):\n",
    "    c += a[i] * b[i]\n",
    "end = time.time()\n",
    "\n",
    "print(\"For-loop time : \", end-start)"
   ]
  }
 ],
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