pyspark-test.ipynb

pyspark-test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyspark\n",
    "sc = pyspark.SparkContext('local[*]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.14136904\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "num_samples = 100000000\n",
    "def inside(p):     \n",
    "  x, y = random.random(), random.random()\n",
    "  return x*x + y*y < 1\n",
    "count = sc.parallelize(range(0, num_samples)).filter(inside).count()\n",
    "pi = 4 * count / num_samples\n",
    "print(pi)\n",
    "sc.stop()"
   ]
  },
  {
   "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",
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