Threads and Processes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Threads and Processes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor\n",
    "import numpy as np\n",
    "import time\n",
    "import matplotlib.pyplot as plt\n",
    "import glob\n",
    "from PIL import Image\n",
    "import random\n",
    "import string\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "MULTITHREADING_TITLE=\"Multithreading\"\n",
    "MULTIPROCESSING_TITLE=\"Multiprocessing\"\n",
    "\n",
    "def visualize_runtimes(results, title):\n",
    "    start,stop = np.array(results).T\n",
    "    plt.barh(range(len(start)),stop-start,left=start)\n",
    "    plt.grid(axis='x')\n",
    "    plt.ylabel(\"Tasks\")\n",
    "    plt.xlabel(\"Seconds\")\n",
    "    plt.title(title)\n",
    "    return stop[-1]-start[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def multithreading(func, args, workers):\n",
    "    begin_time = time.time()\n",
    "    with ThreadPoolExecutor(max_workers=workers) as executor:\n",
    "        res = executor.map(func, args, [begin_time for i in range(len(args))])\n",
    "    return list(res)\n",
    "        \n",
    "def multiprocessing(func, args, workers):\n",
    "    begin_time = time.time()\n",
    "    with ProcessPoolExecutor(max_workers=workers) as executor:\n",
    "        res = executor.map(func, args, [begin_time for i in range(len(args))])\n",
    "    return list(res)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## API Calls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from urllib.request import urlopen\n",
    "\n",
    "def download(url, base):\n",
    "    start = time.time() - base\n",
    "    try:\n",
    "        resp = urlopen(url)\n",
    "    except Exception as e:\n",
    "        print ('ERROR: %s' % e)\n",
    "    stop = time.time() - base\n",
    "    return start,stop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "N = 16\n",
    "URL = 'https://contentserver.adobe.com/store/books/HuckFinn.pdf'\n",
    "urls = [URL for i in range(N)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Serial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "34.6 s ± 4.62 s per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%timeit -n 1 [download(url, 1) for url in urls]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multithreading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25.052574157714844"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEWCAYAAABrDZDcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAFlFJREFUeJzt3XuUZWV95vHvExAV0EIXSEhDbAcRR9FRLG8Jake8ADLByUqMDGZAHVuzNF6G0XiZRNesyQzGxOhauuK0EcFIMI6KEsERopZ3wQK5CgjRVhrRhkGLi4g2/uaPs3tZVrqrD9V19q7q9/tZq1efs88++/1tTlNPve8+77tTVUiS2vVrQxcgSRqWQSBJjTMIJKlxBoEkNc4gkKTGGQSS1DiDQKtWkhOSnLdMx5pJ8p+X41h9HPcetF9JHjpU+1odDAKtaEmOSPKVJHNJbkny5SSPB6iqM6rqWQPW9pQkt3d/7uh+6N4+789vDlWbdE/sPnQB0vYkuT/wSeCPgQ8DewBPAe4asq6tquqLwN4ASdYC3wH2qaotW/dJMvbxkuw+/71SX+wRaCV7GEBVnVlVd1fVnVV1XlVdBpDkpCRf2rpz9xv5y5Jcm+THSd6d7idxkt2S/HWSm5N8J8kruv23+ctQkhcluSrJj5J8OsmDd+I8Htz1ZG5Lcl6Sfbs21nY1vDjJ94DPdtuf1PWCfpzk0iTr5tX1wq6u25J8O8lLF9T92iQ3Jvl+khftRM1qiEGglexbwN1JTk9ydJIHjPGeY4HHA48Gngc8u9v+EuBo4DHA4cBzt3eAJMcBbwR+D9gP+CJw5lJPAviPwAuBBzHq1fzXBa8/Dfi3wLOTrAHOAf4H8MBu348m2a/bd3N3jvfvjvk3SQ7v6j6q2/+ZwCHAM3aiZjXEINCKVVW3AkcABbwXuCnJ2Un2X+Rtp1TVj6vqe8DnGP3gh1EovLOqNlXVj4BTFjnGy4D/VVVXdUM1/xN4zE70Ct5fVd+qqjsZDXE9ZsHrb6mqO7rXXwCcW1XnVtUvqup8YBY4BqCqzqmqf6mRzwPnMRou23qO76+qK6rqDuAtS6xXjTEItKJ1P4xPqqoDgcOA3wDeschbfjDv8U/oxvC7910/77X5jxd6MPDObmjmx8AtQIA197T+HdS0rVoeDPzB1ra79o8ADgDoekZf6y6c/5hRQOzbvXfhOX53ifWqMV4s1qpRVVcnOQ146Y723YYbgQPnPT9okX2vB/6iqs5YQjtLMX8J4OuBv6+qlyzcKcm9gY8C/wn4RFX9PMnHGYUUjM5x/nn5rSWNxR6BVqwkD09ycpIDu+cHAccDX1vC4T4MvCrJmiT7AH+6yL7vAd6Q5JFdu1NJ/mAJbS7FB4F/n+TZ3QXu+yRZ1/032AO4N3ATsCXJ0cD8r89+GDgpySOS7Am8uaeatcoZBFrJbgOeCFyQ5A5GAXAFcPISjvVeRuPplwHfAM4FtgB3L9yxqs4C3gp8KMmtXZtHL+UE7qmquh7YerH6JkY9hNcCv1ZVtwGvZPQD/0eMLkKfPe+9n2I0bPZZ4Lrub2mH4o1p1KLut+n3VNXOfC1U2iXYI1ATktw3yTFJdu++ovlm4Kyh65JWAnsEakI3Zv554OHAnYy+q/+q7iuqUtMMAklqnENDktS4ic0jSHIqo6nwm6vqsHnb/wR4OaNva5xTVa/b0bH22WefeuhD211J94477mCvvfYauoxBtHzu0Pb5t3zusDznf9FFF91cVfvtaL9JTig7DXgX8IGtG5L8DqOvxv27qroryYPGOdD+++/P7OzsRIpcDWZmZli3bt3QZQyi5XOHts+/5XOH5Tn/JGPNLp/Y0FBVfYHR1Pz5/pjRWjB3dftsnlT7kqTx9H2N4GHAU5JckOTzW28wsi1J1ieZTTI7NzfXY4mS1Ja+g2B3RkvrPonRbMkPb10vfqGq2lBV01U1PTU11WeNktSUvoNgE/CxbgndC4Ff8MuVEyVJA+g7CD4O/A5AkocxWkTr5p5rkCTNM8mvj54JrAP2TbKJ0ZT+U4FTk1wB/Aw4sZzRJkmDmlgQVNXx23npBZNqU5J0zzmzWJIa5x3KJGkZrX39OctynJMftYV1y3KkHbNHIEmNMwgkqXEGgSQ1ziCQpMYZBJLUOINAkhpnEEhS4wwCSWqcQSBJjXNmsSQto42nPGdZjjMzM7MsxxmHPQJJapxBIEmNc2hIkli+xeKWa2ioT/YIJKlxEwuCJKcm2dzdjWzhaycnqSTer1iSBjbJHsFpwFELNyY5CHgW8L0Jti1JGtPEgqCqvgDcso2X/gZ4HeC9iiVpBej1GkGS44AbqurSMfZdn2Q2yezc3FwP1UlSm3oLgiR7Am8E/nyc/atqQ1VNV9X01NTUZIuTpIb12SM4GHgIcGmSjcCBwMVJfr3HGiRJC/Q2j6CqLgcetPV5FwbTVXVzXzVIkv61SX599Ezgq8ChSTYlefGk2pIkLd3EegRVdfwOXl87qbYl6Z5ajTOCl4sziyWpca41JGlVa3mNoOVij0CSGmcQSFLjDAJJapxBIEmNMwgkqXEGgSQ1ziCQpMYZBJLUOINAkhrnzGJJq1rLM4KXiz0CSWqcQSBJjXNoSFKvxl0k7uRHbeGkMfZ1aGjn2SOQpMZN8g5lpybZnOSKedveluTqJJclOSvJPpNqX5I0nkn2CE4Djlqw7XzgsKp6NPAt4A0TbF+SNIaJBUFVfQG4ZcG286pqS/f0a8CBk2pfkjSeIa8RvAj41PZeTLI+yWyS2bm5uR7LkqS2DBIESd4EbAHO2N4+VbWhqqaranpqaqq/4iSpMb1/fTTJScCxwJFVVX23L0n6Vb0GQZKjgNcBT6uqn/TZtiRp2yb59dEzga8ChybZlOTFwLuA+wHnJ7kkyXsm1b4kaTwT6xFU1fHb2Py+SbUnaXUYdybwzMwMG09YN9liBDizWJKa51pDkhY17tpA43JtoJXHHoEkNc4gkKTGGQSS1DiDQJIaZxBIUuMMAklqnEEgSY0zCCSpcQaBJDXOmcWSFuVM4F2fPQJJapxBIEmNc2hI2kUt12JxDg3t+uwRSFLjJnmHslOTbE5yxbxtD0xyfpJru78fMKn2JUnjmWSP4DTgqAXbXg98pqoOAT7TPZckDWhiQVBVXwBuWbD5OOD07vHpwHMn1b4kaTx9XyPYv6pu7B7/ANh/ezsmWZ9kNsns3NxcP9VJUoMGu1hcVQXUIq9vqKrpqpqemprqsTJJakvfQfDDJAcAdH9v7rl9SdICfQfB2cCJ3eMTgU/03L4kaYFJfn30TOCrwKFJNiV5MXAK8Mwk1wLP6J5LkgY0sZnFVXX8dl46clJtSvolZwRrXM4slqTGudaQtMLMXyPo5Edt4aQlrhlkj0DjskcgSY0zCCSpcQaBJDXOIJCkxhkEktQ4g0CSGmcQSFLjDAJJapxBIEmNc2axtMLMnxE8MzPDxhPWDVeMmmCPQJIat8MgSPKKJPfvHv/vJBcmcQVRSdpFjDM0tL6q3pXkWYzuMfwS4FTgcROtTFpF1i5xYbhtcbE49W2coaGt9xU+Bvj7qrp0zPdJklaBcX6gX5rkXOBY4FNJ9maRm86PI8lrklyZ5IokZya5z84cT5K0dOMEwQuBtwBPqKqfAPcBXrzUBpOsAV4JTFfVYcBuwPOXejxJ0s4ZJwjeVFUXVtUt3fMfAa/ZyXZ3B+6bZHdgT+D7O3k8SdISjRMEhyR5LUCSPYD/A3x3qQ1W1Q3AXwHfA24E5qrqvIX7JVmfZDbJ7Nzc3FKbkyTtwDhBcCIw3YXB2cBXq+rPltpgkgcAxwEPAX4D2CvJCxbuV1Ubqmq6qqanpqaW2pwkaQe2GwRJHp3k0cBhwNuAE4B/AT7dbV+qZwDfqaqbqurnwMeA39qJ40mSdsJi8wjeveD5bcCju+0FPHWJbX4PeFKSPYE7gSOB2SUeS5K0k7YbBFX1lEk0WFUXJPkIcDGwBfgGsGESbUmSdmyHM4uTvAL4QFXdmuQ9wOHAG6rqM0tttKreDLx5qe+XVhpnA2s1G+di8fouBJ4FHMBoiYm/nGxZkqS+jLPW0PwlJj5QVZcmcYkJrXquDySNDLLEhCRp5RinR/BCRiuNXldVP0myLzuxxIQkaWXZYRBU1d1JrgEOTvLwHmqSJPVonG8NvQg4GVgDXA48HvgasG6ilUmSejHONYLXANPAxm5uweOA/zfRqiRJvRknCH5aVXfCaNG5qroSOHSyZUmS+rLdoaEku1fVFuDGJPsA/8RonaFbgE19FShJmqzFrhFcCBxeVb/bPf+z7qb1U8DyfQFbkjSoxYIgCzfszLISkqSVabEg2C/Jf9nei1X19gnUI/XG2cDSyGJBsBuwN9voGUiSdh2LBcGNVfXfe6tEkjSIe3SNQOrb5TfMcdIyLg43n0ND0shi8wiO7K0KSdJgthsEVXXLpBpNsk+SjyS5OslVSZ48qbYkSYsbZ/XRSXgn8H+r6veT7AHsOVAdktS83oMgyRSjG9+fBFBVPwN+1ncdkqSRIe409hDgJuD9Sb6R5O+S7LVwpyTrk8wmmZ2bm+u/SklqxBBBsDtwOPC3VfVY4A7g9Qt3qqoNVTVdVdNTU1N91yhJzRgiCDYBm6rqgu75RxgFgyRpAL0HQVX9ALg+ydalrI8Evtl3HZKkkaG+NfQnwBndN4a+zei+yJKkAQwSBFV1CaO7nkmLetSaKTaesG7oMqRd2hDXCCRJK8hQQ0NqwNplWCPotKP+1TeLJS0zewSS1DiDQJIaZxBIUuMMAklqnEEgSY0zCCSpcQaBJDXOIJCkxhkEktQ4ZxZrYjae8pydPsbMzMzOFyJpUfYIJKlxBoEkNc6hIf2K5VgobqvlGBqSNHn2CCSpcYMFQZLdknwjySeHqkGSNGyP4FXAVQO2L0lioCBIciDwHODvhmhfkvRLQ/UI3gG8DvjF9nZIsj7JbJLZubm5/iqTpMb0HgRJjgU2V9VFi+1XVRuqarqqpqempnqqTpLaM0SP4LeB302yEfgQ8PQkHxygDkkSAwRBVb2hqg6sqrXA84HPVtUL+q5DkjTiPAJJatygM4uragaYGbIG/SpnA0vtsUcgSY1zraFVajnXBJrPHoHUHnsEktQ4g0CSGmcQSFLjDAJJapxBIEmNMwgkqXEGgSQ1ziCQpMYZBJLUOGcWr1LOAJa0XOwRSFLjDAJJapxDQ8tgUgvAbXXyo7Zw0oI2HBqStFzsEUhS44a4ef1BST6X5JtJrkzyqr5rkCT90hBDQ1uAk6vq4iT3Ay5Kcn5VfXOAWiSpeUPcvP7Gqrq4e3wbcBWwpu86JEkjg14jSLIWeCxwwTZeW59kNsns3Nxc36VJUjMGC4IkewMfBV5dVbcufL2qNlTVdFVNT01N9V+gJDVikCBIci9GIXBGVX1siBokSSNDfGsowPuAq6rq7X23L0n6VUP0CH4b+CPg6Uku6f4cM0AdkiQG+PpoVX0JSN/tTtKkZ/nOzMyw8YR1E21DUrucWSxJjWt6raHlWiPIdX8krWb2CCSpcQaBJDXOIJCkxhkEktQ4g0CSGmcQSFLjDAJJapxBIEmNMwgkqXFNzyx2RrAk2SOQpOYZBJLUuFUxNHTnz+9etgXi5nNoSJLsEUhS84a6Z/FRSa5Jcl2S1w9RgyRpZIh7Fu8GvBs4GngEcHySR/RdhyRpZIgewROA66rq21X1M+BDwHED1CFJYpggWANcP+/5pm7br0iyPslsktnbb721t+IkqTUr9mJxVW2oqumqmt77/vcfuhxJ2mUNEQQ3AAfNe35gt02SNIAhguDrwCFJHpJkD+D5wNkD1CFJYoAJZVW1JckrgE8DuwGnVtWVfdchSRoZZGZxVZ0LnDvu/ve9125c4yxgSZqIFXuxWJLUD4NAkhpnEEhS4wwCSWqcQSBJjTMIJKlxBoEkNc4gkKTGGQSS1LhU1dA17FCS24Brhq5jQPsCNw9dxEBaPndo+/xbPndYnvN/cFXtt6OdVsXN64Frqmp66CKGkmS21fNv+dyh7fNv+dyh3/N3aEiSGmcQSFLjVksQbBi6gIG1fP4tnzu0ff4tnzv0eP6r4mKxJGlyVkuPQJI0IQaBJDVuRQdBkqOSXJPkuiSvH7qeviXZmOTyJJckmR26nklLcmqSzUmumLftgUnOT3Jt9/cDhqxxkrZz/m9JckP3b+CSJMcMWeOkJDkoyeeSfDPJlUle1W3f5T//Rc69t89+xV4jSLIb8C3gmcAmRje9P76qvjloYT1KshGYrqomJtUkeSpwO/CBqjqs2/aXwC1VdUr3y8ADqupPh6xzUrZz/m8Bbq+qvxqytklLcgBwQFVdnOR+wEXAc4GT2MU//0XO/Xn09Nmv5B7BE4DrqurbVfUz4EPAcQPXpAmqqi8AtyzYfBxwevf4dEb/g+yStnP+TaiqG6vq4u7xbcBVwBoa+PwXOfferOQgWANcP+/5Jnr+j7MCFHBekouSrB+6mIHsX1U3do9/AOw/ZDEDeUWSy7qho11uaGShJGuBxwIX0Njnv+DcoafPfiUHgeCIqjocOBp4eTd00KwajWOuzLHMyflb4GDgMcCNwF8PW85kJdkb+Cjw6qq6df5ru/rnv41z7+2zX8lBcANw0LznB3bbmlFVN3R/bwbOYjRc1pofdmOoW8dSNw9cT6+q6odVdXdV/QJ4L7vwv4Ek92L0g/CMqvpYt7mJz39b597nZ7+Sg+DrwCFJHpJkD+D5wNkD19SbJHt1F45IshfwLOCKxd+1SzobOLF7fCLwiQFr6d3WH4Kd/8Au+m8gSYD3AVdV1dvnvbTLf/7bO/c+P/sV+60hgO7rUu8AdgNOraq/GLik3iT5N4x6ATBaJfYfdvXzT3ImsI7R8rs/BN4MfBz4MPCbwHeB51XVLnlBdTvnv47R0EABG4GXzhsz32UkOQL4InA58Itu8xsZjZXv0p//Iud+PD199is6CCRJk7eSh4YkST0wCCSpcQaBJDXOIJCkxhkEktQ4g0DNSfKmbpXHy7pVHZ/Yc/vrknyyzzalxew+dAFSn5I8GTgWOLyq7kqyL7DHwGVJg7JHoNYcANxcVXcBVNXNVfX9JI9L8vlugb9Pz1vW4KFJ/jnJpUkuTnJwRt6W5IrufhF/2O27LslMko8kuTrJGd2s0a331rg6ycXA720tJsnT5q03/42ts8mlPjmhTE3pFvb6ErAn8M/APwJfAT4PHFdVN3U/2J9dVS9KcgFwSlWdleQ+jH55Ohp4GXAUo1nAXweeCBzKaAmERwLfB74MvBaYBa4Fng5c17W5Z1Udm+SfuuN/uavtp1W1pY//FtJW9gjUlKq6HXgcsB64idEP5ZcChwHnJ7kE+G/Agd1v52uq6qzuvT+tqp8ARwBndguC/ZBRiDy+a+LCqtrULRR2CbAWeDjwnaq6tltB84PzSvoy8PYkrwT2MQQ0BK8RqDlVdTcwA8wkuRx4OXBlVT15/n5LHKa5a97ju9nB/2PdnbfOAY4Bvpzk2VV19RLalZbMHoGakuTQJIfM2/QYRneE2q+7kEySeyV5ZHe3qE1Jntttv3eSPRktEPaHSXZLsh/wVODCRZq9Glib5ODu+fHz6jm4qi6vqrcyGmJ6+DKdqjQ2g0Ct2Rs4vbtR+GXAI4A/B34feGuSSxkN6fxWt/8fAa/s9v0K8OuMVoW9DLgU+Czwuqr6wfYarKqfMhqKOqe7WDx/Tf1XdxedLwN+Dnxq+U5VGo8XiyWpcfYIJKlxBoEkNc4gkKTGGQSS1DiDQJIaZxBIUuMMAklq3P8H5OKgRFeBS00AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_runtimes(multithreading(download, urls, 1), \"Single Thread\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12.085877895355225"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEWCAYAAABrDZDcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAFtBJREFUeJzt3X2QZXV95/H3RxB1AHs0IMgMK6wiBBEVW2PiGieAikjESrKrLLg87U6ypaIukcIYo5WyUhiNmiqtuFOKoFKoQYgYUCHqyIoINs/PQhRhEByQpEFQYPC7f9wzlUs7Pd3TPfec7j7vV9XU3HvOuff3PTDTn/mdh+9JVSFJ6q8ndF2AJKlbBoEk9ZxBIEk9ZxBIUs8ZBJLUcwaBJPWcQaAlK0klec5m1l+fZNVm1q9N8j9HUtwsDNef5JNJ3ttVLVratu26AGlTktwG7AbsVlX3Di2/EnghsGdV3bYF33casK6q/nLjsqp63tD69wPPqaqj5lv7KFTVn3Vdg5YuZwRayH4MHLHxTZLnA8u6K2d6SfxHlRYtg0AL2eeA/zH0/mjgsxvfTD10k+SYJN+d+iVJVgNHAicl+UWSrzbLb0tycJJDgL8A3tisv3ro489KcnGSB5JckGSn5rN7NIdujk9yO/CtZvnLknwvyb8nuXr40FOSY5Pc2HzXj5L86ZQ635XkriQ/TXLclHWnJflA83pVknVJTkyyvvnMsUPb/laSrya5P8kPknxgU/9dpI0MAi1k3weemuS3k2wDvAn4/JZ+SVWtAc4A/raqdqiqP5yy/uvA3wBfbNa/YGj1fweOBZ4BbAf8+ZSvfyXw28BrkqwAzgM+ADy92fbLSXZutl0PHAY8tfnOjyY5AKAJoz8HXgXsBRw8w27tCowBK4DjgU8keVqz7hPAg802Rze/pGkZBFroNs4KXgXcCNzZ8vifqaofVtUvgS8xOD8x7P1V9WCz/ijg/Ko6v6p+XVUXAhPAoQBVdV5V/WsNfAe4AHhF8z3/rRnruqp6EHj/DHU9Cvx1VT1aVecDvwD2bgLzj4H3VdVDVXUDcPp8/yNoafO4pha6zwEXAXsydFioRXcPvX4I2GHK+juGXj8L+K9JhmccTwS+DZDktcD7gOcy+EfYMuDaZrvdgMuHPveTGer6eVVt2ERtOzP4ez1c1/Br6Tc4I9CCVlU/YXDS+FDg7CmrH+TxJ4933dxXzTTUllf3G5+7A/hcVS0f+rV9VZ2S5EnAl4EPA7tU1XLgfCDNZ+8Cdh/6rv80x3ruATYAK4eW7T7NthJgEGhxOB44sDlkMuwq4I+SLGuutz9+M9/xM+A/z7B+jyTz+TvxeeAPk7wmyTZJntyc2F3J4PzCk2h+UDezg1cPffZLwDFJ9k2yjMHMYYtV1WMMAvP9zX+XfXj8CXfpNxgEWvCa4+oTm1j1UeARBj/ET2dwQng6nwb2ba7m+adNrP/H5vefJ7lijnXeARzO4AqkexjMEN4FPKGqHgBOYPAD/98YnIQ+d+izXwM+xuDqo1ub3+fqrQxOJN/N4NDamcDD8/g+LXHxwTTS0pbkg8CuVeXVQ9okZwTSEpNknyT7Z+ClDA6ZndN1XVq4vGpIWnp2ZHA4aDcGh83+DvhKpxVpQfPQkCT1nIeGJKnnRnZoKMmpDG6nX19V+w0tfxvwFuAx4LyqOmmm71q+fHk95znTdhNelB588EG23377rsvYapba/oD7tFi4T9O7/PLL762qnWfabpTnCE4DPs7jm4T9AYPL615QVQ8necZsvmiXXXZhYmJTVw8uXmvXrmXVqlVdl7HVLLX9AfdpsXCfppdkpjvUgREeGqqqi4D7piz+38ApVfVws836UY0vSZqdts8RPBd4RZJLk3wnyUum2zDJ6iQTSSYmJydbLFGS+qXtINiWQXvelzG44/JLSbKpDatqTVWNV9X42NhYmzVKUq+0HQTrgLObNryXAb8Gdmq5BknSkLaD4J+APwBI8lwGjbju3ewnJEkjNcrLR88EVgE7JVnHoJviqcCpSa5j0Czs6PKONknq1MiCoKqOmGbVUaMaU5K05byzWJJ6zqZzknprj5PP67qETTrx+Rs45uTzuO2U17UynjMCSeo5g0CSes4gkKSeMwgkqecMAknqOYNAknrOIJCknjMIJKnnDAJJ6jnvLJbUW23dubul1q5dy21HrmptPGcEktRzBoEk9ZyHhiT1lk3nBpwRSFLPjSwIkpyaZH3zNLKp605MUkl8XrEkdWyUM4LTgEOmLkyyO/Bq4PYRji1JmqWRBUFVXQTct4lVHwVOAnxWsSQtAK2eI0hyOHBnVV09i21XJ5lIMjE5OdlCdZLUT60FQZJlwF8AfzWb7atqTVWNV9X42NjYaIuTpB5rc0bwbGBP4OoktwErgSuS7NpiDZKkKVq7j6CqrgWesfF9EwbjVXVvWzVIkn7TKC8fPRO4BNg7ybokx49qLEnS3I1sRlBVR8ywfo9RjS1Js2HTuQHvLJaknrPXkKRWjKqvz8a+PHOxUGcEbXNGIEk9ZxBIUs8ZBJLUcwaBJPWcQSBJPWcQSFLPGQSS1HMGgST1nEEgST3nncWSWjGqu3jb7suzFDkjkKSeMwgkqec8NCSpFTadW7icEUhSz43yCWWnJlmf5LqhZR9KclOSa5Kck2T5qMaXJM3OKGcEpwGHTFl2IbBfVe0P/BB49wjHlyTNwsiCoKouAu6bsuyCqtrQvP0+sHJU40uSZqfLcwTHAV+bbmWS1UkmkkxMTk62WJYk9UsnQZDkPcAG4IzptqmqNVU1XlXjY2Nj7RUnST3T+uWjSY4BDgMOqqpqe3xJ0uO1GgRJDgFOAl5ZVQ+1ObYkadNGefnomcAlwN5J1iU5Hvg4sCNwYZKrknxyVONLkmZnZDOCqjpiE4s/ParxJC1sNp1buLyzWJJ6zl5D0hKzuZ4+8+nLM1/29Vm4nBFIUs8ZBJLUcwaBJPWcQSBJPWcQSFLPGQSS1HMGgST1nEEgST1nEEhSz3lnsbTEbO4OXvvyaFOcEUhSzxkEktRzHhqSlhibzmlLOSOQpJ4b5RPKTk2yPsl1Q8uenuTCJLc0vz9tVONLkmZnlDOC04BDpiw7GfhmVe0FfLN5L0nq0MiCoKouAu6bsvhw4PTm9enAG0Y1viRpdto+R7BLVd3VvL4b2GW6DZOsTjKRZGJycrKd6iSphzo7WVxVBdRm1q+pqvGqGh8bG2uxMknql7aD4GdJngnQ/L6+5fElSVO0HQTnAkc3r48GvtLy+JKkKUZ5+eiZwCXA3knWJTkeOAV4VZJbgIOb95KkDo3szuKqOmKaVQeNakxJNp3TlvPOYknqOXsNSTPYXO+ehciePtpSzggkqecMAknqOYNAknrOIJCknjMIJKnnDAJJ6jmDQJJ6ziCQpJ4zCCSp57yzWJqBd+pqqXNGIEk9N2MQJHlrkqc2r/9vksuS2EFUkpaI2RwaWl1VH0/yagbPGP5fwKnAi0dambRA2HROS91sDg1tfK7wocDnqurqWX5OkrQIzOYH+tVJzgcOA76WZAc289D52UjyziTXJ7kuyZlJnjyf75Mkzd1sguBY4P3AS6vqIeDJwPFzHTDJCuAEYLyq9gO2Ad401++TJM3PbILgPVV1WVXd17z/N+Cd8xx3W+ApSbYFlgE/nef3SZLmaDZBsFeSdwEk2Q74R+Ancx2wqu4EPgzcDtwFTFbVBVO3S7I6yUSSicnJybkOJ0mawWyC4GhgvAmDc4FLquq9cx0wydOAw4E9gd2A7ZMcNXW7qlpTVeNVNT42NjbX4SRJM5g2CJLsn2R/YD/gQ8CRwL8C32iWz9XBwI+r6p6qehQ4G/i9eXyfJGkeNncfwSemvH8A2L9ZXsDvz3HM24GXJVkG/BI4CJiY43dJkuZp2iCoqleMYsCqujTJWcAVwAbgSmDNKMaSJM1sxjuLk7wV+GxV3Z/kk8ABwLur6ptzHbSq3ge8b66fl9rknbpa6mZzsnh1EwKvBp7JoMXE3462LElSW2bTa2i4xcRnq+rqJLaY0Jwtlt49Jz5/A8ecfJ4zAi15nbSYkCQtHLOZERzLoNPorVX1UJKdmEeLCUnSwjJjEFTVY0luBp6dZJ8WapIktWg2Vw0dB5wIrACuBV4CfB9YNdLKJEmtmM05gncC48Btzb0FLwZ+PtKqJEmtmU0Q/KqqfgmDpnNVdT2w92jLkiS1ZdpDQ0m2raoNwF1JlgNfZdBn6D5gXVsFSpJGa3PnCC4DDqiq1zfv39s8tH4MWBwXgkuSZrS5IMjUBfNpKyFJWpg2FwQ7J/k/062sqo+MoB71wGK5U3ft2rXcduSqrsuQRm5zQbANsAObmBlIkpaOzQXBXVX1161VIknqxBadI5Dma7E0nAObzqk/NncfwUGtVSFJ6sy0QVBV941q0CTLk5yV5KYkNyb53VGNJUnavNl0Hx2Fvwe+XlV/kmQ7YFlHdUhS77UeBEnGGDz4/hiAqnoEeKTtOiRJA108aWxP4B7gM0muTPKpJNtP3SjJ6iQTSSYmJyfbr1KSeqKLINgWOAD4h6p6EfAgcPLUjapqTVWNV9X42NhY2zVKUm90EQTrgHVVdWnz/iwGwSBJ6kDrQVBVdwN3JNnYyvog4Ia265AkDXR11dDbgDOaK4Z+xOC5yJKkDnQSBFV1FYOnnqlnFtNdujadU190cY5AkrSAdHVoSC1pq7fPxr48s7GYZgVSHzgjkKSeMwgkqecMAknqOYNAknrOIJCknjMIJKnnDAJJ6jmDQJJ6ziCQpJ7zzuIlrq27eO3LIy1ezggkqecMAknqOQ8NLWFtNZyD2Teds+GctPA4I5CknussCJJsk+TKJP/cVQ2SpG5nBG8HbuxwfEkSHQVBkpXA64BPdTG+JOk/dDUj+BhwEvDr6TZIsjrJRJKJycnJ9iqTpJ5pPQiSHAasr6rLN7ddVa2pqvGqGh8bG2upOknqny5mBC8HXp/kNuALwIFJPt9BHZIkOgiCqnp3Va2sqj2ANwHfqqqj2q5DkjTgfQSS1HOd3llcVWuBtV3WsJS1eRevTeekxcsZgST1nL2G5mmu/Xxm25tnvuztI2kmzggkqecMAknqOYNAknrOIJCknjMIJKnnDAJJ6jmDQJJ6ziCQpJ4zCCSp57yzeJ7meueuvXkkLRTOCCSp5wwCSeo5Dw3N00JuOmfDOUmz4YxAknqui4fX757k20luSHJ9kre3XYMk6T90cWhoA3BiVV2RZEfg8iQXVtUNHdQiSb3XxcPr76qqK5rXDwA3AivarkOSNNDpOYIkewAvAi7dxLrVSSaSTExOTrZdmiT1RmdBkGQH4MvAO6rq/qnrq2pNVY1X1fjY2Fj7BUpST3QSBEmeyCAEzqiqs7uoQZI00MVVQwE+DdxYVR9pe3xJ0uN1MSN4OfBm4MAkVzW/Du2gDkkSHVw+WlXfBdL2uKNi0zlJi513FktSzy2KXkO/fPSxOff0GTX7+Uha7JwRSFLPGQSS1HMGgST1nEEgST1nEEhSzxkEktRzBoEk9ZxBIEk9ZxBIUs8tijuLn/LEbbjZO3glaSScEUhSzxkEktRzi+LQkE3nJGl0nBFIUs919cziQ5LcnOTWJCd3UYMkaaCLZxZvA3wCeC2wL3BEkn3brkOSNNDFjOClwK1V9aOqegT4AnB4B3VIkugmCFYAdwy9X9cse5wkq5NMJJn4xf33t1acJPXNgj1ZXFVrqmq8qsZ3eOpTuy5HkpasLoLgTmD3ofcrm2WSpA50EQQ/APZKsmeS7YA3Aed2UIckiQ5uKKuqDUneCnwD2AY4taqub7sOSdJAJ3cWV9X5wPmz3d6mc5I0Ogv2ZLEkqR0GgST1nEEgST1nEEhSzxkEktRzBoEk9ZxBIEk9ZxBIUs8ZBJLUc6mqrmuYUZIHgJu7rmMr2wm4t+sitqKltj/gPi0W7tP0nlVVO8+00aJ4eD1wc1WNd13E1pRkYint01LbH3CfFgv3af48NCRJPWcQSFLPLZYgWNN1ASOw1PZpqe0PuE+Lhfs0T4viZLEkaXQWy4xAkjQiBoEk9dyCDoIkhyS5OcmtSU7uup75SrJ7km8nuSHJ9Une3nVNW0uSbZJcmeSfu65la0iyPMlZSW5KcmOS3+26pvlI8s7mz9x1Sc5M8uSua5qLJKcmWZ/kuqFlT09yYZJbmt+f1mWNW2Ka/flQ8+fumiTnJFk+6joWbBAk2Qb4BPBaYF/giCT7dlvVvG0ATqyqfYGXAW9ZAvu00duBG7suYiv6e+DrVbUP8AIW8b4lWQGcAIxX1X4MnhX+pm6rmrPTgEOmLDsZ+GZV7QV8s3m/WJzGb+7PhcB+VbU/8EPg3aMuYsEGAfBS4Naq+lFVPQJ8ATi845rmparuqqormtcPMPjhsqLbquYvyUrgdcCnuq5la0gyBvw+8GmAqnqkqv6926rmbVvgKUm2BZYBP+24njmpqouA+6YsPhw4vXl9OvCGVouah03tT1VdUFUbmrffB1aOuo6FHAQrgDuG3q9jCfzQ3CjJHsCLgEu7rWSr+BhwEvDrrgvZSvYE7gE+0xzu+lSS7bsuaq6q6k7gw8DtwF3AZFVd0G1VW9UuVXVX8/puYJcui9nKjgO+NupBFnIQLFlJdgC+DLyjqu7vup75SHIYsL6qLu+6lq1oW+AA4B+q6kXAgyyuww2P0xwzP5xBwO0GbJ/kqG6rGo0aXA+/JK6JT/IeBoeTzxj1WAs5CO4Edh96v7JZtqgleSKDEDijqs7uup6t4OXA65PcxuDw3YFJPt9tSfO2DlhXVRtna2cxCIbF6mDgx1V1T1U9CpwN/F7HNW1NP0vyTIDm9/Ud1zNvSY4BDgOOrBZu9lrIQfADYK8keybZjsHJrXM7rmlekoTBcecbq+ojXdezNVTVu6tqZVXtweD/0beqalH/a7Oq7gbuSLJ3s+gg4IYOS5qv24GXJVnW/Bk8iEV88nsTzgWObl4fDXylw1rmLckhDA61vr6qHmpjzAUbBM3JkrcC32Dwh/ZLVXV9t1XN28uBNzP4V/NVza9Duy5Km/Q24Iwk1wAvBP6m43rmrJnZnAVcAVzL4O/9omzLkORM4BJg7yTrkhwPnAK8KsktDGY/p3RZ45aYZn8+DuwIXNj8jPjkyOuwxYQk9duCnRFIktphEEhSzxkEktRzBoEk9ZxBIEk9ZxCod5K8p+nEeU1zed7vtDz+qqXSpVVLw7ZdFyC1qWknfRhwQFU9nGQnYLuOy5I65YxAffNM4N6qehigqu6tqp8meXGS7yS5PMk3hloWPCfJvyS5OskVSZ6dgQ81vf2vTfLGZttVSdYOPcfgjOZO3o3P1rgpyRXAH20sJskrh24uvDLJju3/J1HfeUOZeqVp+PddBq2Y/wX4IvA94DvA4VV1T/OD/TVVdVySS4FTquqc5mEuT2DwjIw/Y9BHficG7VB+B9ibQXuD5zFo83wx8C5gArgFOBC4tRlzWVUdluSrzfdf3NT2q6EWxFIrnBGoV6rqF8CLgdUMWk1/EfhTYD+aW/qBvwRWNv86X1FV5zSf/VXT++W/AGdW1WNV9TMGIfKSZojLqmpdVf0auArYA9iHQdO3W5oGYsNN+S4GPpLkBGC5IaAueI5AvVNVjwFrgbVJrgXeAlxfVY97HOUcD9M8PPT6MWb4O1ZVpyQ5DzgUuDjJa6rqpjmMK82ZMwL1SpK9k+w1tOiFDJoa7rzxucRJnpjkec1T5NYleUOz/ElJlgH/D3hjBs9p3pnB08wu28ywNwF7JHl28/6IoXqeXVXXVtUHGRxi2mcr7ao0awaB+mYH4PQkNzSdRfcF/gr4E+CDSa5mcEhnY7/+NwMnNNt+D9gVOAe4Brga+BZwUtO6epOq6lcMDkWd15wsHu6X/47mpPM1wKO08DQqaSpPFktSzzkjkKSeMwgkqecMAknqOYNAknrOIJCknjMIJKnnDAJJ6rn/D9qoqn+AWTBhAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_runtimes(multithreading(download, urls, 2),MULTITHREADING_TITLE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.805537223815918"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_runtimes(multithreading(download, urls, 4),MULTITHREADING_TITLE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multiprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23.13641333580017"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEWCAYAAABrDZDcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAFjdJREFUeJzt3X+QZWV95/H3Z0HRAeRHpjUwEMcliovAIjb+RDNKVkFJcFPZKIsWRDcjKYnoTklQN9Haqmxw3WBI6UZHJaAhGNeIIaIRQmyJv8AG+SkYSBx1EJjGUVFRdOC7f9wzlbanp6fp6XtP9zzvVxU195577nm+ferSn36ec5/npKqQJLXr3/VdgCSpXwaBJDXOIJCkxhkEktQ4g0CSGmcQSFLjDAItO0lOSXL5Ih1rIsl/W4xjScuVQaAlKcmxSb6Q5PtJNif5fJJjAKrqoqp6Yc/1rU5SSX7Y/bchydl91iQt1O59FyDNlOQxwCeA3wU+AjwSeC7wQJ91bce+VbUlybOAK5NcX1V/P32HJLtX1Zae6pN2yB6BlqInAVTVxVX1YFX9uKour6obAZKcluRzW3fu/jI/PcntSb6X5N1J0r22W5I/SXJvkq8nOaPbf9Y/gpK8KsmtSb6b5NNJHj+fgqvqi8AtwOHTanptktuB27ttz07y5a6X8+Ukz57W7v5J/iLJt7u2Pz7ttROTXN/9bF9IcuS0134/yZ1JfpDka0mO67Y/PclkkvuS3JPk3HmeezXIINBS9M/Ag0kuTHJCkv3m8Z4TgWOAI4HfAl7Ubf8d4ATgKOBo4KXbO0CSk4A3A78BjAH/BFy8o4Yz8BzgKcBXpr30UuAZwGFJ9gcuA/4M+AXgXOCyJL/Q7fshYEV3jMcC7+yO/VTgfOA13fveC1yaZI8khwJnAMdU1d7dz7yhO955wHlV9RjgEAY9K2lWBoGWnKq6DzgWKOB9wFSSS5M8bo63nVNV36uqbwKfYfCLHwahcF5Vbayq7wLnzHGM04E/rqpbu6Gc/wUctYNewb3AZuD9wNlVdeW01/64qjZX1Y+BlwC3V9WHqmpLVV0M3Ab8WpIDGITV6VX13ar6WVV9tjvGWuC9VXV11zu6kMEQ2TOBB4E9GATNI6pqQ1X9S/e+nwG/nGRlVf2wqr40x8+gxhkEWpK6X8anVdVBDIZbDgT+dI633D3t8f3AXt3jA4FvTXtt+uOZHg+c1w3BfI/BL/gAq+Z4z8qq2q+q/kNV/dmM16a3dSDwjRmvf6M79sHA5i6oZqtp3daauroOBg6sqjuA1wNvAzYl+XCSA7v3vZrBENtt3TDUiXP8DGqcQaAlr6puAy6gG39/mO4CDpr2/OA59v0W8Jqq2nfaf4+uqi8soF0Y9Gi2+jaDX+rT/RJwZ9fu/kn23U5NfzSjphVdj4Kq+quqOrY7dgFv77bfXlUnMxhmejvw0SR7LvDn0C7OINCSk+TJSdYlOah7fjBwMrCQ4Y2PAGcmWdX9ov39OfZ9D/CmJE/p2t0nyX9ZQJuz+STwpCT/NcnuSV4GHAZ8oqruAj4F/N8k+yV5RJLnde97H3B6kmd01yL2TPKSJHsnOTTJC5LsAfwE+DHwUFf7K5KMVdVDwPe6Yz20SD+LdjEGgZaiHzC4yHp1kh8xCICbgXULONb7gMuBGxlcyP0ksIXB+PrPqapLGPz1/OEk93VtnrCQH2CWY3+HwQXtdcB3gLOAE6vq3m6XVzIY178N2MRgyIeqmmRwwftdwHeBO4DTuvfsweCax70MhsYeC7ype+144JYkP2Rw4fjl3bUKaRvxxjRqSZITgPdU1by+Fiq1wB6BdmlJHp3kxd1wzCrgrcAlfdclLSX2CLRLS7IC+CzwZAZj6JcBZ3ZfUZWEQSBJzXNoSJIaN7RF55Kcz+BbEpuq6vBp238PeC2Db21cVlVn7ehYK1eurNWrVw+r1GXnRz/6EXvu6VfCp/OcbMtzsq3Wzsm11157b1WN7Wi/Ya4+egGDr7x9cOuGJM8HTgL+Y1U9kOSx8znQ6tWrmZycHEqRy9HExARr1qzpu4wlxXOyLc/Jtlo7J0lmzmaf1dCGhqrqKgZT9Kf7XQZrwjzQ7bNpWO1LkuZn1NcIngQ8N8nVST6b7kYjs0mytltGd3JqamqEJUpSW0YdBLsD+zNYOfGNwEe2rhs/U1Wtr6rxqhofG9vhEJckaYFGHQQbgY/VwDUM1j5ZOeIaJEnTjDoIPg48HyDJkxjcgvDeOd8hSRqqYX599GJgDbAyyUYGU/vPB85PcjPwU+DUckabJPVqaEHQrYU+m1cMq01J0sPnzGJJatwwJ5RJUnNWn33Zoh1rwzkvWbRjzcUegSQ1ziCQpMYZBJLUOINAkhpnEEhS4wwCSWqcQSBJjTMIJKlxBoEkNc6ZxZK0iEY1G3gx2SOQpMYZBJLUOIeGJDVtMReJA4eGJEnL0NCCIMn5STZ1dyOb+dq6JJXE+xVLUs+G2SO4ADh+5sYkBwMvBL45xLYlSfM0tCCoqquAzbO89E7gLMB7FUvSEjDSawRJTgLurKob5rHv2iSTSSanpqZGUJ0ktWlkQZBkBfBm4A/ns39Vra+q8aoaHxsbG25xktSwUfYIDgGeANyQZANwEHBdkl8cYQ2SpBlGNo+gqm4CHrv1eRcG41V176hqkCRta5hfH70Y+CJwaJKNSV49rLYkSQs3tB5BVZ28g9dXD6ttSZqv5TgTeLE5s1iSGudaQ5KWnYWuD7TuiC2cNuO99gjsEUhS8wwCSWqcQSBJjTMIJKlxBoEkNc4gkKTGGQSS1DiDQJIaZxBIUuOcWSxp2VnobOCJiQk2nLJmcYvZBdgjkKTGGQSS1DiHhiSNxEIXipuNC8UtLnsEktS4Yd6h7Pwkm5LcPG3bO5LcluTGJJck2XdY7UuS5meYPYILgONnbLsCOLyqjgT+GXjTENuXJM3D0IKgqq4CNs/YdnlVbemefgk4aFjtS5Lmp89rBK8CPrW9F5OsTTKZZHJqamqEZUlSW3oJgiRvAbYAF21vn6paX1XjVTU+NjY2uuIkqTEj//poktOAE4HjqqpG3b4k6eeNNAiSHA+cBfxKVd0/yrYlSbMb5tdHLwa+CByaZGOSVwPvAvYGrkhyfZL3DKt9SdL8DK1HUFUnz7L5A8NqT9LS5mzgpcuZxZLUONcakjSrxVwbCOwRLGX2CCSpcQaBJDXOIJCkxhkEktQ4g0CSGmcQSFLjDAJJapxBIEmNMwgkqXHOLJY0K2cCt8MegSQ1ziCQpMY5NCTtImYuErfuiC2cthMLxzk01A57BJLUuGHeoez8JJuS3Dxt2/5Jrkhye/fvfsNqX5I0P8PsEVwAHD9j29nAlVX1RODK7rkkqUdDC4KqugrYPGPzScCF3eMLgZcOq31J0vyM+hrB46rqru7x3cDjtrdjkrVJJpNMTk1NjaY6SWpQbxeLq6qAmuP19VU1XlXjY2NjI6xMktoy6iC4J8kBAN2/m0bcviRphlEHwaXAqd3jU4G/HXH7kqQZhvn10YuBLwKHJtmY5NXAOcB/SnI78Kvdc0lSj4Y2s7iqTt7OS8cNq02pZTNnAk9MTLDhlDX9FKNlxZnFktQ41xqSejRzfaCd4dpAWih7BJLUOINAkhpnEEhS4wwCSWqcQSBJjTMIJKlxBoEkNc4gkKTGGQSS1DhnFks9cjawlgJ7BJLUuB0GQZIzkjyme/zeJNckcQVRSdpFzGdoaG1VvSvJCxncY/h3gPOBpw21MmmJcqE47WrmMzS09b7CLwY+VFU3zPN9kqRlYD6/0G9I8kngROBTSfZijpvOz0eSNyS5JcnNSS5O8qidOZ4kaeHmEwS/DbwNeHpV3Q88Cnj1QhtMsgp4HTBeVYcDuwEvX+jxJEk7Zz5B8JaquqaqNnfPvwu8YSfb3R14dJLdgRXAt3fyeJKkBZpPEDwxyRsBkjwS+H/ANxbaYFXdCfwf4JvAXcD3q+rymfslWZtkMsnk1NTUQpuTJO3AfILgVGC8C4NLgS9W1R8stMEk+wEnAU8ADgT2TPKKmftV1fqqGq+q8bGxsYU2J0nage0GQZIjkxwJHA68AzgF+Bfg0932hfpV4OtVNVVVPwM+Bjx7J44nSdoJc80jePeM5z8Ajuy2F/C8Bbb5TeCZSVYAPwaOAyYXeCxJ0k7abhBU1XOH0WBVXZ3ko8B1wBbgK8D6YbQlSdqxHc4sTnIG8MGqui/Je4CjgTdV1ZULbbSq3gq8daHvl/rkbGDtauZzsXhtFwIvBA5gsMTE/x5uWZKkUZnPWkPTl5j4YFXdkMQlJrSsuD6QtH29LDEhSVo65tMj+G0GK43eUVX3J1nJTiwxIUlaWnYYBFX1YJKvAYckefIIapIkjdB8vjX0KmAdsAq4CTgG+BKwZqiVSZJGYj7XCN4AjAMburkFTwO+M9SqJEkjM58g+ElV/RgGi85V1S3AocMtS5I0KtsdGkqye1VtAe5Ksi/wdwzWGdoMbBxVgZKk4ZrrGsE1wNFV9evd8z/oblq/D7B4X8qWJPVqriDIzA07s6yEJGlpmisIxpL89+29WFXnDqEeaSicDSxt31xBsBuwF7P0DCRJu465guCuqvqfI6tEktSLh3WNQBqVh7tI3LojtnDaHO9xaEjavrnmERw3siokSb3ZbhBU1eZhNZpk3yQfTXJbkluTPGtYbUmS5jaf1UeH4Tzg76vqN5M8EljRUx2S1LyRB0GSfRjc+P40gKr6KfDTUdchSRro405jTwCmgL9I8pUk70+y58ydkqxNMplkcmpqavRVSlIj+giC3YGjgT+vqqcCPwLOnrlTVa2vqvGqGh8bGxt1jZLUjD6CYCOwsaqu7p5/lEEwSJJ6MPIgqKq7gW8l2bqU9XHAV0ddhyRpoK9vDf0ecFH3jaF/ZXBfZElSD3oJgqq6nsFdz6RZPdyZwBMTE2w4Zc1wipF2cX1cI5AkLSF9DQ1pF/Rw1weai2sDSaNjj0CSGmcQSFLjDAJJapxBIEmNMwgkqXEGgSQ1ziCQpMYZBJLUOINAkhrnzGItGmcDS8uTPQJJapxBIEmNc2iocS4UJ8kegSQ1rrcgSLJbkq8k+URfNUiS+u0RnAnc2mP7kiR6CoIkBwEvAd7fR/uSpH/TV4/gT4GzgIe2t0OStUkmk0xOTU2NrjJJaszIgyDJicCmqrp2rv2qan1VjVfV+NjY2Iiqk6T29NEjeA7w60k2AB8GXpDkL3uoQ5JED0FQVW+qqoOqajXwcuAfq+oVo65DkjTgPAJJalyvM4uragKY6LOG1jkbWJI9AklqnGsNLUM33fl9TlukNYLsEUiyRyBJjTMIJKlxBoEkNc4gkKTGGQSS1DiDQJIaZxBIUuMMAklqnEEgSY1zZvEydMSqfdhwypq+y5C0i7BHIEmNMwgkqXEODY3A6kVaIG6rC47fc1GPJ6lt9ggkqXF93Lz+4CSfSfLVJLckOXPUNUiS/k0fQ0NbgHVVdV2SvYFrk1xRVV/toRZJal4fN6+/q6qu6x7/ALgVWDXqOiRJA71eI0iyGngqcPUsr61NMplkcmpqatSlSVIzeguCJHsBfwO8vqrum/l6Va2vqvGqGh8bGxt9gZLUiF6CIMkjGITARVX1sT5qkCQN9PGtoQAfAG6tqnNH3b4k6ef10SN4DvBK4AVJru/+e3EPdUiS6OHro1X1OSCjbrdPG855yaIeb2JiYlGPJ6ltziyWpMa51tAsFnttoMXuEUjSYrJHIEmNMwgkqXEGgSQ1ziCQpMYZBJLUOINAkhpnEEhS4wwCSWqcQSBJjXNm8SycCSypJfYIJKlxBoEkNW5ZDA3ddOf3F30huLk4NCSpJfYIJKlxfd2z+PgkX0tyR5Kz+6hBkjTQxz2LdwPeDZwAHAacnOSwUdchSRroo0fwdOCOqvrXqvop8GHgpB7qkCTRTxCsAr417fnGbtvPSbI2yWSSyQfv//7IipOk1izZi8VVtb6qxqtqfLcV+/RdjiTtsvoIgjuBg6c9P6jbJknqQR9B8GXgiUmekOSRwMuBS3uoQ5JEDxPKqmpLkjOATwO7AedX1S2jrkOSNNDLzOKq+iTwyfnuf8SqfZh0tq8kDcWSvVgsSRoNg0CSGmcQSFLjDAJJapxBIEmNMwgkqXEGgSQ1ziCQpMYZBJLUuFRV3zXsUJIp4Bt917GErATu7buIJcZzsi3PybZaOyePr6qxHe20LIJAPy/JZFWN913HUuI52ZbnZFuek9k5NCRJjTMIJKlxBsHytL7vApYgz8m2PCfb8pzMwmsEktQ4ewSS1DiDQJIaZxAsM0k2JLkpyfVJJvuupw9Jzk+yKcnN07btn+SKJLd3/+7XZ42jtp1z8rYkd3afleuTvLjPGkctycFJPpPkq0luSXJmt73pz8psDILl6flVdVTD34e+ADh+xrazgSur6onAld3zllzAtucE4J3dZ+Wo7haxLdkCrKuqw4BnAq9Nchh+VrZhEGjZqaqrgM0zNp8EXNg9vhB46UiL6tl2zknTququqrque/wD4FZgFY1/VmZjECw/BVye5Noka/suZgl5XFXd1T2+G3hcn8UsIWckubEbOmp2CCTJauCpwNX4WdmGQbD8HFtVRwMnMOjqPq/vgpaaGnwn2u9Fw58DhwBHAXcBf9JvOf1IshfwN8Drq+q+6a/5WRkwCJaZqrqz+3cTcAnw9H4rWjLuSXIAQPfvpp7r6V1V3VNVD1bVQ8D7aPCzkuQRDELgoqr6WLfZz8oMBsEykmTPJHtvfQy8ELh57nc141Lg1O7xqcDf9ljLkrD1l13nP9PYZyVJgA8At1bVudNe8rMygzOLl5Ek/55BLwBgd+CvquqPeiypF0kuBtYwWFL4HuCtwMeBjwC/xGDJ8t+qqmYunm7nnKxhMCxUwAbgNdPGxnd5SY4F/gm4CXio2/xmBtcJmv2szMYgkKTGOTQkSY0zCCSpcQaBJDXOIJCkxhkEktQ4g0DNSfKWbjXKG7tVOZ8x4vbXJPnEKNuU5rJ73wVIo5TkWcCJwNFV9UCSlcAjey5L6pU9ArXmAODeqnoAoKrurapvJ3laks92i/l9etoSBL+c5B+S3JDkuiSHZOAdSW7u7g3xsm7fNUkmknw0yW1JLupmt5Lk+G7bdcBvbC0mya9Mu1/AV7bOHJdGyQllakq3ANnngBXAPwB/DXwB+CxwUlVNdb/YX1RVr0pyNXBOVV2S5FEM/ng6ATidwfr/K4EvA88ADmWwXMFTgG8DnwfeCEwCtwMvAO7o2lxRVScm+bvu+J/vavtJVW0ZxbmQtrJHoKZU1Q+BpwFrgSkGv5RfAxwOXJHkeuB/AAd1f52vqqpLuvf+pKruB44FLu4WdLuHQYgc0zVxTVVt7BZ6ux5YDTwZ+HpV3d6tdvmX00r6PHBuktcB+xoC6oPXCNScqnoQmAAmktwEvBa4paqeNX2/BQ7TPDDt8YPs4P+xqjonyWXAi4HPJ3lRVd22gHalBbNHoKYkOTTJE6dtOorBnavGugvJJHlEkqd0d7XamOSl3fY9kqxgsJDZy5LslmQMeB5wzRzN3gasTnJI9/zkafUcUlU3VdXbGQwxPXmRflRp3gwCtWYv4MLuhuY3AocBfwj8JvD2JDcwGNJ5drf/K4HXdft+AfhFBivA3gjcAPwjcFZV3b29BqvqJwyGoi7rLhZPX//+9d1F5xuBnwGfWrwfVZofLxZLUuPsEUhS4wwCSWqcQSBJjTMIJKlxBoEkNc4gkKTGGQSS1Lj/D7uRjAmjWy32AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_runtimes(multiprocessing(download, urls, 1), \"Single Process\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11.567987203598022"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_runtimes(multiprocessing(download, urls, 2), MULTIPROCESSING_TITLE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.775312185287476"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_runtimes(multiprocessing(download, urls, 4), MULTIPROCESSING_TITLE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## When to use threads vs processes?\n",
    "* Processes speed up Python operations that are CPU intensive because they benefit from multiple cores and avoid the GIL.\n",
    "* Threads are best for IO tasks or tasks involving external systems because threads can combine their work more efficiently. Processes need to pickle their results to combine them which takes time.\n",
    "* Threads provide no benefit in python for CPU intensive tasks because of the GIL.\n",
    "\n",
    "*For certain operations like Dot Product, Numpy works around Python’s GIL and executes code in parallel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}