fixed last example in Part 1, Section 10, 7 - Random Choices

Author: fbaptiste

Part 1/Section 10 - Extras/07 - Random Choices.ipynb

@@ -21,9 +21,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import random"
@@ -39,9 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "random.seed(0)"
@@ -50,9 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "l = [10, 20, 30, 40, 50, 60]"
@@ -61,9 +55,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "random_index = random.randrange(len(l))"
@@ -196,9 +188,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "list_1 = list(range(1000))"
@@ -256,9 +246,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "list_2 = ['a', 'b', 'c']"
@@ -358,9 +346,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "weights_2 = [10, 1, 1]"
@@ -410,9 +396,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "weights_2 = [100, 1, 1]"
@@ -457,9 +441,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from collections import namedtuple\n",
@@ -479,9 +461,9 @@
     {
      "data": {
       "text/plain": [
-       "{'a': Freq(count=331, freq=33.1),\n",
+       "{'c': Freq(count=335, freq=33.5),\n",
        " 'b': Freq(count=334, freq=33.4),\n",
-       " 'c': Freq(count=335, freq=33.5)}"
+       " 'a': Freq(count=331, freq=33.1)}"
       ]
      },
      "execution_count": 20,
@@ -508,9 +490,9 @@
     {
      "data": {
       "text/plain": [
-       "{'a': Freq(count=810, freq=81.0),\n",
+       "{'c': Freq(count=104, freq=10.4),\n",
        " 'b': Freq(count=86, freq=8.6),\n",
-       " 'c': Freq(count=104, freq=10.4)}"
+       " 'a': Freq(count=810, freq=81.0)}"
       ]
      },
      "execution_count": 21,
@@ -552,9 +534,9 @@
     {
      "data": {
       "text/plain": [
-       "{'a': Freq(count=7996, freq=79.96),\n",
+       "{'c': Freq(count=942, freq=9.42),\n",
        " 'b': Freq(count=1062, freq=10.62),\n",
-       " 'c': Freq(count=942, freq=9.42)}"
+       " 'a': Freq(count=7996, freq=79.96)}"
       ]
      },
      "execution_count": 22,
@@ -583,9 +565,9 @@
     {
      "data": {
       "text/plain": [
-       "{'a': Freq(count=810, freq=81.0),\n",
+       "{'c': Freq(count=104, freq=10.4),\n",
        " 'b': Freq(count=86, freq=8.6),\n",
-       " 'c': Freq(count=104, freq=10.4)}"
+       " 'a': Freq(count=810, freq=81.0)}"
       ]
      },
      "execution_count": 23,
@@ -683,9 +665,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from time import perf_counter"
@@ -694,9 +674,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "denominators = random.choices([0, 1], k=1_000_000)"
@@ -711,7 +689,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Avg elapsed time: 1.0296184024998272e-07\n"
+      "Avg elapsed time: 1.5108646599946952e-07\n"
      ]
     }
    ],
@@ -735,7 +713,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Avg elapsed time: 3.0430142044261676e-07\n"
+      "Avg elapsed time: 3.9199999800075604e-07\n"
      ]
     }
    ],
@@ -765,9 +743,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "denominators = random.choices([0, 1], k=1_000_000, weights=[1, 9])"
@@ -782,7 +758,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Avg elapsed time: 1.2833232424613062e-07\n"
+      "Avg elapsed time: 1.9064371899912659e-07\n"
      ]
     }
    ],
@@ -806,17 +782,17 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Avg elapsed time: 1.2821015019822802e-07\n"
+      "Avg elapsed time: 1.7348390699953599e-07\n"
      ]
     }
    ],
    "source": [
     "start = perf_counter()\n",
     "for denominator in denominators:\n",
-    "    if denominator == 0:\n",
-    "        continue\n",
-    "    else:\n",
+    "    try:\n",
     "        10 / denominator\n",
+    "    except ZeroDivisionError:\n",
+    "        continue\n",
     "        \n",
     "end = perf_counter()\n",
     "print(f'Avg elapsed time: {(end-start)/len(denominators)}')"
@@ -825,9 +801,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": []
   }
@@ -848,7 +822,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,