{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 4, 9, 16, 25, 36, 49, 64]\n"
     ]
    }
   ],
   "source": [
    "sayilar = [1,2,3,4,5,6,7,8]\n",
    "kareler = []\n",
    "for sayi in sayilar:\n",
    "    karesi = sayi *sayi\n",
    "    kareler.append(karesi)\n",
    "    \n",
    "print(kareler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(1, 1), (2, 4), (3, 9), (4, 16), (5, 25), (6, 36), (7, 49), (8, 64)]\n"
     ]
    }
   ],
   "source": [
    "from pyspark import SparkContext\n",
    "sc = SparkContext.getOrCreate()\n",
    "sayilar = [1,2,3,4,5,6,7,8]\n",
    "\n",
    "sayilarRDD = sc.parallelize(sayilar)\n",
    "\n",
    "karelerRDD = sayilarRDD.map(lambda sayi : (sayi, sayi*sayi) ) #Veri döüşümü\n",
    "\n",
    "print(karelerRDD.collect())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[13, 3, 16, 18]\n"
     ]
    }
   ],
   "source": [
    "from pyspark import SparkContext\n",
    "sc = SparkContext.getOrCreate()\n",
    "sayilar = [13,23,3,24,35,16,37,18]\n",
    "sayilarRDD = sc.parallelize(sayilar)\n",
    "sonucRDD = sayilarRDD.filter(lambda x : x<20)\n",
    "print(sonucRDD.collect())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Basic Python \n",
    "#Python Data Structures\n",
    "#Numpy  ** Bilmek iyidir\n",
    "#Pandas  ** Bilmek iyidir\n",
    "#Matplotlib  ** Bilmek iyidir\n",
    "#Sklearn  ** Bilmek iyidir\n",
    "#Spark\n"
   ]
  }
 ],
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  "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": "3.8.3"
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 "nbformat": 4,
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