PDFs and Spreadsheets.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with CSV files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CSV files, aka Comma Separated Variables, are the most common output for most spreadsheet programs, such as Excel. Generally, at the top of the file, you have the column names, and underneath are the rows with the contents of those columns. However, there isn't always a comma separating these parts - sometimes there are hyphens or other things. We can actually specify what this separator is.\n",
    "\n",
    "\n",
    "\n",
    "Note that, while you can export things like Excel files and Google Spreadsheets to .csv files, it will only export the information. Things such as formulas, images, and macros cannot be stored in the .csv files. A csv file, simply put, only contains the raw data from the spreadsheet. We will use the built-in csv module for Python to grab columns, rows, and specific values from .csv files as well as write to .csv files.\n",
    "\n",
    "\n",
    "Note that this is a very popular space for outside libraries, which you might want to explore. One of these libraries is Pandas, which is very useful and deep. Another one, called openpyxl, is designed entirely for Excel files - it has a lot of Excel specific functionality, and can support Excel functions. python-excel.org tracks some other Excel python libraries. Another library to consider is the Google Sheets Python API if you are using Google Spreadsheets a lot. It allows you to directly work wiht Google Spreadsheets in python, letting you make changes to the spreadsheets online. It has some complex syntax, however, but is available in many programming languages."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's see what we can do with the .csv files in python. We will start by performing a very common encoding error to see what not to do. Let's start:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our steps are to open the file, call csv.reader to read it, and reformat it into a python object, typically a list of lists. Let's open the file 'example.csv' first:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = open('example.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's try to convert it into csv data by passing it into csv.reader:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_data = csv.reader(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's try to reformat it into a list of lists:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "UnicodeDecodeError",
     "evalue": "'charmap' codec can't decode byte 0x8d in position 1810: character maps to <undefined>",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mUnicodeDecodeError\u001b[0m                        Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-4-1f501450909b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdata_lines\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcsv_data\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\encodings\\cp1252.py\u001b[0m in \u001b[0;36mdecode\u001b[1;34m(self, input, final)\u001b[0m\n\u001b[0;32m     21\u001b[0m \u001b[1;32mclass\u001b[0m \u001b[0mIncrementalDecoder\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcodecs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mIncrementalDecoder\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     22\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mdecode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minput\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfinal\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 23\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mcodecs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcharmap_decode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minput\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdecoding_table\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     24\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     25\u001b[0m \u001b[1;32mclass\u001b[0m \u001b[0mStreamWriter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mCodec\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mcodecs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mStreamWriter\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mUnicodeDecodeError\u001b[0m: 'charmap' codec can't decode byte 0x8d in position 1810: character maps to <undefined>"
     ]
    }
   ],
   "source": [
    "data_lines = list(csv_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we get the error. It says that this character mapping coded can't be decoded. This is because there are different encodings a file could have. The encoding makes it so that something can read or can't read different types of special characters in a file. The specific special character that is messing this code up is the 'at' symbol, or '@'. What we need to do is put in an encoding argument when we open the file, to help with this special character. We will be using utf-8 encoding:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = open('example.csv',encoding = 'utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_data = csv.reader(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_lines = list(csv_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, you can see that we don't get an error. Now, let's take a look at data_lines:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['id', 'first_name', 'last_name', 'email', 'gender', 'ip_address', 'city'],\n",
       " ['1',\n",
       "  'Joseph',\n",
       "  'Zaniolini',\n",
       "  'jzaniolini0@simplemachines.org',\n",
       "  'Male',\n",
       "  '163.168.68.132',\n",
       "  'Pedro Leopoldo'],\n",
       " ['2',\n",
       "  'Freida',\n",
       "  'Drillingcourt',\n",
       "  'fdrillingcourt1@umich.edu',\n",
       "  'Female',\n",
       "  '97.212.102.79',\n",
       "  'Buri'],\n",
       " ['3',\n",
       "  'Nanni',\n",
       "  'Herity',\n",
       "  'nherity2@statcounter.com',\n",
       "  'Female',\n",
       "  '145.151.178.98',\n",
       "  'Claver'],\n",
       " ['4',\n",
       "  'Orazio',\n",
       "  'Frayling',\n",
       "  'ofrayling3@economist.com',\n",
       "  'Male',\n",
       "  '25.199.143.143',\n",
       "  'Kungur'],\n",
       " ['5',\n",
       "  'Julianne',\n",
       "  'Murrison',\n",
       "  'jmurrison4@cbslocal.com',\n",
       "  'Female',\n",
       "  '10.186.243.144',\n",
       "  'Sainte-Luce-sur-Loire'],\n",
       " ['6',\n",
       "  'Lucy',\n",
       "  'Gamet',\n",
       "  'lgamet5@list-manage.com',\n",
       "  'Female',\n",
       "  '10.151.93.36',\n",
       "  'Pak Phli'],\n",
       " ['7',\n",
       "  'Dyana',\n",
       "  'Howatt',\n",
       "  'dhowatt6@amazon.com',\n",
       "  'Female',\n",
       "  '224.169.61.29',\n",
       "  'Palmares'],\n",
       " ['8',\n",
       "  'Kassey',\n",
       "  'Herion',\n",
       "  'kherion7@amazon.com',\n",
       "  'Female',\n",
       "  '245.51.154.79',\n",
       "  'Zákynthos'],\n",
       " ['9',\n",
       "  'Chrissy',\n",
       "  'Hedworth',\n",
       "  'chedworth8@china.com.cn',\n",
       "  'Male',\n",
       "  '124.222.93.57',\n",
       "  'Boevange-sur-Attert'],\n",
       " ['10',\n",
       "  'Hyatt',\n",
       "  'Gasquoine',\n",
       "  'hgasquoine9@google.ru',\n",
       "  'Male',\n",
       "  '221.155.106.39',\n",
       "  'Złoty Stok'],\n",
       " ['11',\n",
       "  'Felicdad',\n",
       "  'Tarr',\n",
       "  'ftarra@shareasale.com',\n",
       "  'Female',\n",
       "  '145.203.98.173',\n",
       "  'Salamnunggal'],\n",
       " ['12',\n",
       "  'Andrew',\n",
       "  'Bath',\n",
       "  'abathb@umn.edu',\n",
       "  'Male',\n",
       "  '64.36.30.186',\n",
       "  'El Hermel'],\n",
       " ['13',\n",
       "  'Lucais',\n",
       "  'Chastang',\n",
       "  'lchastangc@goo.gl',\n",
       "  'Male',\n",
       "  '142.182.6.86',\n",
       "  'Tilburg'],\n",
       " ['14',\n",
       "  'Car',\n",
       "  'Cerie',\n",
       "  'cceried@yale.edu',\n",
       "  'Male',\n",
       "  '203.204.69.107',\n",
       "  'Shofirkon'],\n",
       " ['15',\n",
       "  'Alvera',\n",
       "  'Jepp',\n",
       "  'ajeppe@umich.edu',\n",
       "  'Female',\n",
       "  '202.150.229.139',\n",
       "  'New Sibonga'],\n",
       " ['16',\n",
       "  'Prescott',\n",
       "  'Caldeiro',\n",
       "  'pcaldeirof@chronoengine.com',\n",
       "  'Male',\n",
       "  '29.81.197.109',\n",
       "  'Patzicía'],\n",
       " ['17',\n",
       "  'Nariko',\n",
       "  'Clunie',\n",
       "  'nclunieg@utexas.edu',\n",
       "  'Female',\n",
       "  '237.85.98.58',\n",
       "  'Umuarama'],\n",
       " ['18',\n",
       "  'Kalvin',\n",
       "  'Rois',\n",
       "  'kroish@unicef.org',\n",
       "  'Male',\n",
       "  '75.20.57.166',\n",
       "  'Marsh Harbour'],\n",
       " ['19',\n",
       "  'Isa',\n",
       "  'Boycott',\n",
       "  'iboycotti@dailymail.co.uk',\n",
       "  'Female',\n",
       "  '48.82.184.239',\n",
       "  'Kalix'],\n",
       " ['20',\n",
       "  'Benedetta',\n",
       "  'Glanert',\n",
       "  'bglanertj@timesonline.co.uk',\n",
       "  'Female',\n",
       "  '209.194.38.175',\n",
       "  'Tianxin'],\n",
       " ['21',\n",
       "  'Poul',\n",
       "  'Caroli',\n",
       "  'pcarolik@cam.ac.uk',\n",
       "  'Male',\n",
       "  '176.134.222.111',\n",
       "  'Dingcheng'],\n",
       " ['22',\n",
       "  'Virgie',\n",
       "  'Dran',\n",
       "  'vdranl@independent.co.uk',\n",
       "  'Male',\n",
       "  '87.224.43.109',\n",
       "  'Changpu'],\n",
       " ['23',\n",
       "  'Gillie',\n",
       "  'Roantree',\n",
       "  'groantreem@nba.com',\n",
       "  'Female',\n",
       "  '240.133.255.198',\n",
       "  'Lirung'],\n",
       " ['24',\n",
       "  'Tabor',\n",
       "  'Dawidowitsch',\n",
       "  'tdawidowitschn@free.fr',\n",
       "  'Male',\n",
       "  '102.236.160.230',\n",
       "  'Lamalera'],\n",
       " ['25',\n",
       "  'Sarina',\n",
       "  'Choulerton',\n",
       "  'schoulertono@wisc.edu',\n",
       "  'Female',\n",
       "  '73.36.0.165',\n",
       "  'Íquira'],\n",
       " ['26',\n",
       "  'Elbert',\n",
       "  'Seawell',\n",
       "  'eseawellp@live.com',\n",
       "  'Male',\n",
       "  '116.69.73.19',\n",
       "  'Vitória'],\n",
       " ['27',\n",
       "  'Danita',\n",
       "  'Aldrin',\n",
       "  'daldrinq@wired.com',\n",
       "  'Female',\n",
       "  '98.171.121.136',\n",
       "  'Bringinanom'],\n",
       " ['28',\n",
       "  'Jone',\n",
       "  'Dank',\n",
       "  'jdankr@miibeian.gov.cn',\n",
       "  'Male',\n",
       "  '188.201.52.190',\n",
       "  'Xiancun'],\n",
       " ['29',\n",
       "  'Merralee',\n",
       "  'Lampel',\n",
       "  'mlampels@a8.net',\n",
       "  'Female',\n",
       "  '131.52.216.81',\n",
       "  'West Hartford'],\n",
       " ['30',\n",
       "  'Charyl',\n",
       "  'Halstead',\n",
       "  'chalsteadt@amazon.de',\n",
       "  'Female',\n",
       "  '20.219.12.180',\n",
       "  'Las Vegas'],\n",
       " ['31',\n",
       "  'Giuseppe',\n",
       "  'Karolowski',\n",
       "  'gkarolowskiu@narod.ru',\n",
       "  'Male',\n",
       "  '171.177.109.165',\n",
       "  'Mlangali'],\n",
       " ['32',\n",
       "  'Sutherlan',\n",
       "  'Mundee',\n",
       "  'smundeev@nsw.gov.au',\n",
       "  'Male',\n",
       "  '68.91.169.230',\n",
       "  'Keluke'],\n",
       " ['33',\n",
       "  'Alexander',\n",
       "  'Oldershaw',\n",
       "  'aoldershaww@so-net.ne.jp',\n",
       "  'Male',\n",
       "  '38.108.66.54',\n",
       "  'Capitán Bado'],\n",
       " ['34',\n",
       "  'Blayne',\n",
       "  'Mattusevich',\n",
       "  'bmattusevichx@foxnews.com',\n",
       "  'Male',\n",
       "  '227.51.230.208',\n",
       "  'Vykhino-Zhulebino'],\n",
       " ['35',\n",
       "  'Alfredo',\n",
       "  'Bohlens',\n",
       "  'abohlensy@nih.gov',\n",
       "  'Male',\n",
       "  '219.50.104.169',\n",
       "  'Lazaro Cardenas'],\n",
       " ['36',\n",
       "  'Harman',\n",
       "  'Braidwood',\n",
       "  'hbraidwoodz@amazon.com',\n",
       "  'Male',\n",
       "  '100.123.214.249',\n",
       "  'Täby'],\n",
       " ['37',\n",
       "  'Haslett',\n",
       "  'Sudron',\n",
       "  'hsudron10@nps.gov',\n",
       "  'Male',\n",
       "  '168.21.120.107',\n",
       "  'Oyabe'],\n",
       " ['38',\n",
       "  'Jeanelle',\n",
       "  'VanBrugh',\n",
       "  'jvanbrugh11@cocolog-nifty.com',\n",
       "  'Female',\n",
       "  '59.112.24.10',\n",
       "  'Weifen'],\n",
       " ['39',\n",
       "  'Hetty',\n",
       "  'Lightollers',\n",
       "  'hlightollers12@comsenz.com',\n",
       "  'Female',\n",
       "  '199.246.118.133',\n",
       "  'Château-Richer'],\n",
       " ['40',\n",
       "  'Elmira',\n",
       "  'Goodhand',\n",
       "  'egoodhand13@tripadvisor.com',\n",
       "  'Female',\n",
       "  '83.5.248.21',\n",
       "  'Nytva'],\n",
       " ['41',\n",
       "  'Granger',\n",
       "  'Lewerenz',\n",
       "  'glewerenz14@about.me',\n",
       "  'Male',\n",
       "  '126.53.131.38',\n",
       "  'Itambacuri'],\n",
       " ['42',\n",
       "  'Tobie',\n",
       "  'Lewson',\n",
       "  'tlewson15@marriott.com',\n",
       "  'Male',\n",
       "  '111.144.164.250',\n",
       "  'Lushikeng'],\n",
       " ['43',\n",
       "  'Knox',\n",
       "  'Sainteau',\n",
       "  'ksainteau16@ning.com',\n",
       "  'Male',\n",
       "  '169.28.54.18',\n",
       "  'Jiezi'],\n",
       " ['44',\n",
       "  'Eliot',\n",
       "  'Vedekhov',\n",
       "  'evedekhov17@jiathis.com',\n",
       "  'Male',\n",
       "  '235.14.147.198',\n",
       "  'Stockholm'],\n",
       " ['45',\n",
       "  'Honey',\n",
       "  'Crenshaw',\n",
       "  'hcrenshaw18@github.io',\n",
       "  'Female',\n",
       "  '200.207.16.70',\n",
       "  'Nanyue'],\n",
       " ['46',\n",
       "  'Karmen',\n",
       "  'Soppitt',\n",
       "  'ksoppitt19@cdc.gov',\n",
       "  'Female',\n",
       "  '21.73.69.9',\n",
       "  'Anseong'],\n",
       " ['47',\n",
       "  'Fairleigh',\n",
       "  'Sivess',\n",
       "  'fsivess1a@free.fr',\n",
       "  'Male',\n",
       "  '141.156.151.157',\n",
       "  'Vienna'],\n",
       " ['48',\n",
       "  'Angelina',\n",
       "  'Stranio',\n",
       "  'astranio1b@latimes.com',\n",
       "  'Female',\n",
       "  '215.130.119.210',\n",
       "  'Chitral'],\n",
       " ['49',\n",
       "  'Lilla',\n",
       "  'Erni',\n",
       "  'lerni1c@dailymotion.com',\n",
       "  'Female',\n",
       "  '244.94.188.95',\n",
       "  'Jiannan'],\n",
       " ['50',\n",
       "  'Penn',\n",
       "  'Batson',\n",
       "  'pbatson1d@vimeo.com',\n",
       "  'Male',\n",
       "  '41.104.204.213',\n",
       "  'Caldas Novas'],\n",
       " ['51',\n",
       "  'Salvidor',\n",
       "  'Cawthry',\n",
       "  'scawthry1e@youtu.be',\n",
       "  'Male',\n",
       "  '68.84.121.114',\n",
       "  'Habartov'],\n",
       " ['52',\n",
       "  'Ker',\n",
       "  'Kellock',\n",
       "  'kkellock1f@japanpost.jp',\n",
       "  'Male',\n",
       "  '13.216.243.76',\n",
       "  'Guanlu'],\n",
       " ['53',\n",
       "  'Lorne',\n",
       "  'Smouten',\n",
       "  'lsmouten1g@noaa.gov',\n",
       "  'Female',\n",
       "  '84.97.70.93',\n",
       "  'Nice'],\n",
       " ['54',\n",
       "  'Elijah',\n",
       "  'Sore',\n",
       "  'esore1h@wikia.com',\n",
       "  'Male',\n",
       "  '189.118.42.113',\n",
       "  'La Romana'],\n",
       " ['55',\n",
       "  'Paxton',\n",
       "  'Chsteney',\n",
       "  'pchsteney1i@msn.com',\n",
       "  'Male',\n",
       "  '123.81.121.141',\n",
       "  'Labin'],\n",
       " ['56',\n",
       "  'Ernie',\n",
       "  'Eddies',\n",
       "  'eeddies1j@disqus.com',\n",
       "  'Male',\n",
       "  '60.57.254.84',\n",
       "  'Książ Wielkopolski'],\n",
       " ['57',\n",
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       "  '181.30.198.208',\n",
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       "  'Female',\n",
       "  '197.242.248.249',\n",
       "  'Bieligutai'],\n",
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       "  'Mahony',\n",
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       "  'maugustineln@geocities.jp',\n",
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       "  '192.69.30.58',\n",
       "  'Dal’neye Konstantinovo'],\n",
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       "  'Female',\n",
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       "  'Phủ Thông'],\n",
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       "  'Thị Trấn Cao Phong'],\n",
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       "  '54.162.5.201',\n",
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       "  'dmacanelleyml@nasa.gov',\n",
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       "  'Thành Phố Lạng Sơn'],\n",
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       "  'kingeq0@w3.org',\n",
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       "  \"O' Concannon\",\n",
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       "  'Female',\n",
       "  '53.15.203.106',\n",
       "  'Yong’an'],\n",
       " ['953',\n",
       "  'Kelli',\n",
       "  'Nunn',\n",
       "  'knunnqg@yellowbook.com',\n",
       "  'Female',\n",
       "  '6.243.78.148',\n",
       "  'St. Catharines'],\n",
       " ['954',\n",
       "  'Minda',\n",
       "  'Treves',\n",
       "  'mtrevesqh@cyberchimps.com',\n",
       "  'Female',\n",
       "  '179.198.30.20',\n",
       "  'Kurzętnik'],\n",
       " ['955',\n",
       "  'Perren',\n",
       "  'Riglar',\n",
       "  'priglarqi@princeton.edu',\n",
       "  'Male',\n",
       "  '179.9.112.226',\n",
       "  'Cikou'],\n",
       " ['956',\n",
       "  'Shurlock',\n",
       "  'Rubanenko',\n",
       "  'srubanenkoqj@narod.ru',\n",
       "  'Male',\n",
       "  '124.177.68.255',\n",
       "  'Jishi'],\n",
       " ['957',\n",
       "  'Karlik',\n",
       "  'Anan',\n",
       "  'kananqk@bigcartel.com',\n",
       "  'Male',\n",
       "  '211.80.3.156',\n",
       "  'Shiqian'],\n",
       " ['958',\n",
       "  'Mayne',\n",
       "  'Wall',\n",
       "  'mwallql@who.int',\n",
       "  'Male',\n",
       "  '92.159.108.202',\n",
       "  'Mulandoro'],\n",
       " ['959',\n",
       "  'Catherin',\n",
       "  'Winger',\n",
       "  'cwingerqm@infoseek.co.jp',\n",
       "  'Female',\n",
       "  '81.207.80.151',\n",
       "  'Huangduobu'],\n",
       " ['960',\n",
       "  'Sioux',\n",
       "  'Smillie',\n",
       "  'ssmillieqn@so-net.ne.jp',\n",
       "  'Female',\n",
       "  '106.42.217.238',\n",
       "  'Nomhon'],\n",
       " ['961',\n",
       "  'Tobin',\n",
       "  'Grice',\n",
       "  'tgriceqo@elegantthemes.com',\n",
       "  'Male',\n",
       "  '119.60.73.193',\n",
       "  'Lokoja'],\n",
       " ['962',\n",
       "  'Hercules',\n",
       "  'Curneen',\n",
       "  'hcurneenqp@hostgator.com',\n",
       "  'Male',\n",
       "  '61.81.42.7',\n",
       "  'Richmond'],\n",
       " ['963',\n",
       "  'Darcie',\n",
       "  'Hubeaux',\n",
       "  'dhubeauxqq@twitpic.com',\n",
       "  'Female',\n",
       "  '252.254.215.180',\n",
       "  'Loureiro'],\n",
       " ['964',\n",
       "  'Ellyn',\n",
       "  'Zwicker',\n",
       "  'ezwickerqr@ucla.edu',\n",
       "  'Female',\n",
       "  '34.181.10.155',\n",
       "  'Toguchin'],\n",
       " ['965',\n",
       "  'Davide',\n",
       "  'Marrow',\n",
       "  'dmarrowqs@e-recht24.de',\n",
       "  'Male',\n",
       "  '207.35.57.112',\n",
       "  'Vermil'],\n",
       " ['966',\n",
       "  'Finley',\n",
       "  'Riolfi',\n",
       "  'friolfiqt@macromedia.com',\n",
       "  'Male',\n",
       "  '114.211.141.200',\n",
       "  'Vällingby'],\n",
       " ['967',\n",
       "  'Rosemonde',\n",
       "  'Ilyukhov',\n",
       "  'rilyukhovqu@jigsy.com',\n",
       "  'Female',\n",
       "  '32.4.241.83',\n",
       "  'Namangan Shahri'],\n",
       " ['968',\n",
       "  'Marten',\n",
       "  'McKall',\n",
       "  'mmckallqv@odnoklassniki.ru',\n",
       "  'Male',\n",
       "  '28.86.37.196',\n",
       "  'San Esteban'],\n",
       " ['969',\n",
       "  'Crista',\n",
       "  'Portinari',\n",
       "  'cportinariqw@parallels.com',\n",
       "  'Female',\n",
       "  '84.136.203.101',\n",
       "  'Sepanjang'],\n",
       " ['970',\n",
       "  'Torrence',\n",
       "  'Havoc',\n",
       "  'thavocqx@japanpost.jp',\n",
       "  'Male',\n",
       "  '142.112.110.51',\n",
       "  'Chejiazhuang'],\n",
       " ['971',\n",
       "  'Rici',\n",
       "  'Jocic',\n",
       "  'rjocicqy@odnoklassniki.ru',\n",
       "  'Female',\n",
       "  '146.91.187.253',\n",
       "  'Dřevohostice'],\n",
       " ['972',\n",
       "  'Tad',\n",
       "  \"O'Loughnan\",\n",
       "  'toloughnanqz@bloglines.com',\n",
       "  'Male',\n",
       "  '137.55.77.161',\n",
       "  'Karanglincak'],\n",
       " ['973',\n",
       "  'Danyelle',\n",
       "  'Aslet',\n",
       "  'dasletr0@t.co',\n",
       "  'Female',\n",
       "  '220.234.69.142',\n",
       "  'Gjinoc'],\n",
       " ['974',\n",
       "  'Wallas',\n",
       "  'Sabberton',\n",
       "  'wsabbertonr1@cocolog-nifty.com',\n",
       "  'Male',\n",
       "  '242.214.215.62',\n",
       "  'Suqu'],\n",
       " ['975',\n",
       "  'Genevra',\n",
       "  'Berkery',\n",
       "  'gberkeryr2@last.fm',\n",
       "  'Female',\n",
       "  '108.162.138.106',\n",
       "  'Oum Hadjer'],\n",
       " ['976',\n",
       "  'Roarke',\n",
       "  'Berthe',\n",
       "  'rberther3@omniture.com',\n",
       "  'Male',\n",
       "  '208.101.213.119',\n",
       "  'Mae Fa Luang'],\n",
       " ['977',\n",
       "  'Ryan',\n",
       "  'Searson',\n",
       "  'rsearsonr4@rambler.ru',\n",
       "  'Male',\n",
       "  '67.91.243.143',\n",
       "  'Pyatigorsk'],\n",
       " ['978',\n",
       "  'Kerri',\n",
       "  'Polson',\n",
       "  'kpolsonr5@chron.com',\n",
       "  'Female',\n",
       "  '10.16.140.78',\n",
       "  'Öldziyt'],\n",
       " ['979',\n",
       "  'Allister',\n",
       "  'Grigorini',\n",
       "  'agrigorinir6@bloglines.com',\n",
       "  'Male',\n",
       "  '178.196.171.156',\n",
       "  'Pato Branco'],\n",
       " ['980',\n",
       "  'Terese',\n",
       "  'Thoumasson',\n",
       "  'tthoumassonr7@bloglines.com',\n",
       "  'Female',\n",
       "  '1.187.193.193',\n",
       "  'Nōgata'],\n",
       " ['981',\n",
       "  'Franklyn',\n",
       "  'Ickovitz',\n",
       "  'fickovitzr8@oakley.com',\n",
       "  'Male',\n",
       "  '190.129.63.145',\n",
       "  'Conceição das Alagoas'],\n",
       " ['982',\n",
       "  'Byrom',\n",
       "  'Trye',\n",
       "  'btryer9@parallels.com',\n",
       "  'Male',\n",
       "  '253.197.119.102',\n",
       "  'Almada'],\n",
       " ['983',\n",
       "  'Hamlin',\n",
       "  'Shearston',\n",
       "  'hshearstonra@clickbank.net',\n",
       "  'Male',\n",
       "  '209.133.239.108',\n",
       "  'Potosí'],\n",
       " ['984',\n",
       "  'Patrizia',\n",
       "  'Drew-Clifton',\n",
       "  'pdrewcliftonrb@nsw.gov.au',\n",
       "  'Female',\n",
       "  '109.103.70.24',\n",
       "  'Guariba'],\n",
       " ['985',\n",
       "  'Thane',\n",
       "  'Kindell',\n",
       "  'tkindellrc@amazonaws.com',\n",
       "  'Male',\n",
       "  '71.199.121.133',\n",
       "  'Mengcheng Chengguanzhen'],\n",
       " ['986',\n",
       "  'Basile',\n",
       "  'Speerman',\n",
       "  'bspeermanrd@blogger.com',\n",
       "  'Male',\n",
       "  '163.71.220.229',\n",
       "  'Tiecun'],\n",
       " ['987',\n",
       "  'Jamison',\n",
       "  'Line',\n",
       "  'jlinere@pinterest.com',\n",
       "  'Male',\n",
       "  '100.52.196.187',\n",
       "  'Oklahoma City'],\n",
       " ['988',\n",
       "  'Ev',\n",
       "  'Tremathack',\n",
       "  'etremathackrf@github.io',\n",
       "  'Male',\n",
       "  '121.180.48.101',\n",
       "  'Xinzha'],\n",
       " ['989',\n",
       "  'Care',\n",
       "  'Gladdis',\n",
       "  'cgladdisrg@hp.com',\n",
       "  'Male',\n",
       "  '121.8.176.32',\n",
       "  'Leles'],\n",
       " ['990',\n",
       "  'Gerrie',\n",
       "  'Nilles',\n",
       "  'gnillesrh@usgs.gov',\n",
       "  'Female',\n",
       "  '157.132.4.185',\n",
       "  'Sherwood Park'],\n",
       " ['991',\n",
       "  'Bat',\n",
       "  'Tomczynski',\n",
       "  'btomczynskiri@toplist.cz',\n",
       "  'Male',\n",
       "  '138.39.70.190',\n",
       "  '‘Arīqah'],\n",
       " ['992',\n",
       "  'Bernelle',\n",
       "  'Sheavills',\n",
       "  'bsheavillsrj@biblegateway.com',\n",
       "  'Female',\n",
       "  '149.217.194.24',\n",
       "  'Thanatpin'],\n",
       " ['993',\n",
       "  'Alvera',\n",
       "  'Marvelley',\n",
       "  'amarvelleyrk@miibeian.gov.cn',\n",
       "  'Female',\n",
       "  '8.87.243.103',\n",
       "  'Kleszczewo'],\n",
       " ['994',\n",
       "  'Lothaire',\n",
       "  'Luxford',\n",
       "  'lluxfordrl@redcross.org',\n",
       "  'Male',\n",
       "  '65.32.26.102',\n",
       "  'Si Racha'],\n",
       " ['995',\n",
       "  'Glynn',\n",
       "  'Wakerley',\n",
       "  'gwakerleyrm@disqus.com',\n",
       "  'Male',\n",
       "  '10.67.24.104',\n",
       "  'Rennes'],\n",
       " ['996',\n",
       "  'Parrnell',\n",
       "  'Jeff',\n",
       "  'pjeffrn@4shared.com',\n",
       "  'Male',\n",
       "  '159.55.55.39',\n",
       "  'Dengok'],\n",
       " ['997',\n",
       "  'Pat',\n",
       "  'Warstall',\n",
       "  'pwarstallro@dropbox.com',\n",
       "  'Male',\n",
       "  '169.200.7.131',\n",
       "  'Rosário do Sul'],\n",
       " ['998',\n",
       "  'Willyt',\n",
       "  'Vannuccini',\n",
       "  'wvannuccinirp@tuttocitta.it',\n",
       "  'Female',\n",
       "  '156.149.18.155',\n",
       "  'Xiaopingba'],\n",
       " ['999',\n",
       "  'Gaelan',\n",
       "  'Petrashkov',\n",
       "  'gpetrashkovrq@hostgator.com',\n",
       "  'Male',\n",
       "  '219.109.169.75',\n",
       "  'Bethlehem'],\n",
       " ...]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_lines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, data_lines is a list of list where the first item is the column names (the top row), and then each subsequent item is the row underneath. Now, let's see how we can loop through this data here. We can see that the first item is the column names:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['id', 'first_name', 'last_name', 'email', 'gender', 'ip_address', 'city']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_lines[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we want to see how many rows are there, we can just check the length of data_lines:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1001"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data_lines)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This shows that there are 1000 data lines and 1 line of column names making a total of 1001 lines. Let's say that we are looking for the 10th row person:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['10',\n",
       " 'Hyatt',\n",
       " 'Gasquoine',\n",
       " 'hgasquoine9@google.ru',\n",
       " 'Male',\n",
       " '221.155.106.39',\n",
       " 'Złoty Stok']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_lines[10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see all the data here. What if we want the email of this person? We just need to grab the index 3:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'hgasquoine9@google.ru'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_lines[10][3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's say we want to just grab every email in this file. We know that the emails are all at index 3, so we can just run a loop through and add the emails to a list:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_emails = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note: we splice from index 1 because we don't want to show the column name\n",
    "for line in data_lines[1:]:\n",
    "    all_emails.append(line[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['jzaniolini0@simplemachines.org',\n",
       " 'fdrillingcourt1@umich.edu',\n",
       " 'nherity2@statcounter.com',\n",
       " 'ofrayling3@economist.com',\n",
       " 'jmurrison4@cbslocal.com',\n",
       " 'lgamet5@list-manage.com',\n",
       " 'dhowatt6@amazon.com',\n",
       " 'kherion7@amazon.com',\n",
       " 'chedworth8@china.com.cn',\n",
       " 'hgasquoine9@google.ru',\n",
       " 'ftarra@shareasale.com',\n",
       " 'abathb@umn.edu',\n",
       " 'lchastangc@goo.gl',\n",
       " 'cceried@yale.edu',\n",
       " 'ajeppe@umich.edu',\n",
       " 'pcaldeirof@chronoengine.com',\n",
       " 'nclunieg@utexas.edu',\n",
       " 'kroish@unicef.org',\n",
       " 'iboycotti@dailymail.co.uk',\n",
       " 'bglanertj@timesonline.co.uk',\n",
       " 'pcarolik@cam.ac.uk',\n",
       " 'vdranl@independent.co.uk',\n",
       " 'groantreem@nba.com',\n",
       " 'tdawidowitschn@free.fr',\n",
       " 'schoulertono@wisc.edu',\n",
       " 'eseawellp@live.com',\n",
       " 'daldrinq@wired.com',\n",
       " 'jdankr@miibeian.gov.cn',\n",
       " 'mlampels@a8.net',\n",
       " 'chalsteadt@amazon.de',\n",
       " 'gkarolowskiu@narod.ru',\n",
       " 'smundeev@nsw.gov.au',\n",
       " 'aoldershaww@so-net.ne.jp',\n",
       " 'bmattusevichx@foxnews.com',\n",
       " 'abohlensy@nih.gov',\n",
       " 'hbraidwoodz@amazon.com',\n",
       " 'hsudron10@nps.gov',\n",
       " 'jvanbrugh11@cocolog-nifty.com',\n",
       " 'hlightollers12@comsenz.com',\n",
       " 'egoodhand13@tripadvisor.com',\n",
       " 'glewerenz14@about.me',\n",
       " 'tlewson15@marriott.com',\n",
       " 'ksainteau16@ning.com',\n",
       " 'evedekhov17@jiathis.com',\n",
       " 'hcrenshaw18@github.io',\n",
       " 'ksoppitt19@cdc.gov',\n",
       " 'fsivess1a@free.fr',\n",
       " 'astranio1b@latimes.com',\n",
       " 'lerni1c@dailymotion.com',\n",
       " 'pbatson1d@vimeo.com',\n",
       " 'scawthry1e@youtu.be',\n",
       " 'kkellock1f@japanpost.jp',\n",
       " 'lsmouten1g@noaa.gov',\n",
       " 'esore1h@wikia.com',\n",
       " 'pchsteney1i@msn.com',\n",
       " 'eeddies1j@disqus.com',\n",
       " 'dendicott1k@buzzfeed.com',\n",
       " 'mmasse1l@vkontakte.ru',\n",
       " 'gdrains1m@samsung.com',\n",
       " 'rteaz1n@issuu.com',\n",
       " 'hnorthey1o@hostgator.com',\n",
       " 'clebretondelavieuville1p@sfgate.com',\n",
       " 'lallbones1q@reddit.com',\n",
       " 'djeduch1r@ovh.net',\n",
       " 'iandriolli1s@ucoz.com',\n",
       " 'fcruickshanks1t@lulu.com',\n",
       " 'spinnock1u@hc360.com',\n",
       " 'lsnazel1v@smh.com.au',\n",
       " 'psells1w@booking.com',\n",
       " 'sdougal1x@cbc.ca',\n",
       " 'bhallwell1y@usnews.com',\n",
       " 'krecke1z@microsoft.com',\n",
       " 'cdorricott20@cbslocal.com',\n",
       " 'pbartolijn21@biblegateway.com',\n",
       " 'khefford22@t.co',\n",
       " 'lissacof23@dagondesign.com',\n",
       " 'rlaybourn24@nasa.gov',\n",
       " 'ogiacomuzzo25@alibaba.com',\n",
       " 'cdorsay26@home.pl',\n",
       " 'hfakeley27@blogger.com',\n",
       " 'emorilla28@ycombinator.com',\n",
       " 'aeastmead29@soundcloud.com',\n",
       " 'kblooman2a@imgur.com',\n",
       " 'ssessions2b@bizjournals.com',\n",
       " 'wdodshon2c@tinypic.com',\n",
       " 'nraiston2d@nydailynews.com',\n",
       " 'mdoche2e@microsoft.com',\n",
       " 'jmazey2f@naver.com',\n",
       " 'krojahn2g@delicious.com',\n",
       " 'lfrazier2h@i2i.jp',\n",
       " 'fjarville2i@si.edu',\n",
       " 'scragg2j@naver.com',\n",
       " 'mkennewell2k@virginia.edu',\n",
       " 'tbradie2l@merriam-webster.com',\n",
       " 'fdrought2m@goo.gl',\n",
       " 'bguiel2n@time.com',\n",
       " 'mvanyukov2o@discovery.com',\n",
       " 'rstribbling2p@wiley.com',\n",
       " 'fgiuron2q@storify.com',\n",
       " 'abristowe2r@live.com',\n",
       " 'gmagenny2s@flavors.me',\n",
       " 'kcrosse2t@bluehost.com',\n",
       " 'bbubb2u@dailymail.co.uk',\n",
       " 'crubinowicz2v@europa.eu',\n",
       " 'kprestidge2w@bing.com',\n",
       " 'pdary2x@redcross.org',\n",
       " 'afibbens2y@whitehouse.gov',\n",
       " 'spawsey2z@zimbio.com',\n",
       " 'jwalak30@dedecms.com',\n",
       " 'avasilyonok31@blogspot.com',\n",
       " 'astammer32@vimeo.com',\n",
       " 'agravatt33@1und1.de',\n",
       " 'ofendlow34@tuttocitta.it',\n",
       " 'bpurvey35@dell.com',\n",
       " 'mfeechan36@last.fm',\n",
       " 'lreaveley37@wp.com',\n",
       " 'tcastro38@gov.uk',\n",
       " 'mmacnair39@archive.org',\n",
       " 'hmacfarlane3a@facebook.com',\n",
       " 'fmoizer3b@scientificamerican.com',\n",
       " 'mderby3c@ask.com',\n",
       " 'ctomet3d@timesonline.co.uk',\n",
       " 'bmacgowan3e@squarespace.com',\n",
       " 'ericcardelli3f@sciencedaily.com',\n",
       " 'uchevers3g@surveymonkey.com',\n",
       " 'jspitell3h@wordpress.com',\n",
       " 'msnelling3i@php.net',\n",
       " 'cmoxon3j@usda.gov',\n",
       " 'cmurdie3k@biblegateway.com',\n",
       " 'kdanshin3l@linkedin.com',\n",
       " 'ihartup3m@amazon.de',\n",
       " 'dcargon3n@usda.gov',\n",
       " 'ctosh3o@list-manage.com',\n",
       " 'hszymoni3p@angelfire.com',\n",
       " 'ftregian3q@shutterfly.com',\n",
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       " 'kroafg8@exblog.jp',\n",
       " 'ekleinzweigg9@blogs.com',\n",
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       " 'lsircombegd@ebay.com',\n",
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       " 'nsinncockgg@google.fr',\n",
       " 'opaffotgh@newyorker.com',\n",
       " 'erosellinigi@dot.gov',\n",
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       " 'nslaymakergk@springer.com',\n",
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       " 'dgrigoiregr@angelfire.com',\n",
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       " 'arollingsonho@privacy.gov.au',\n",
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       " 'ctruinna@homestead.com',\n",
       " 'akopfnb@prlog.org',\n",
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       " 'smarriagenh@devhub.com',\n",
       " 'bkonkeni@slate.com',\n",
       " 'eglosternj@webmd.com',\n",
       " 'btsarovicnk@cnbc.com',\n",
       " 'mdevoynl@cloudflare.com',\n",
       " 'sgodfraynm@google.com.au',\n",
       " 'fdasparnn@photobucket.com',\n",
       " 'dcavesno@businessweek.com',\n",
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       " 'igieroknv@apache.org',\n",
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       " 'ttileynz@cam.ac.uk',\n",
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       " 'davrahamyo3@google.nl',\n",
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       " 'jwillimoto5@google.it',\n",
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       " 'mmatyugino8@so-net.ne.jp',\n",
       " 'kkneeboneo9@techcrunch.com',\n",
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       " 'awoolfordob@yellowbook.com',\n",
       " 'rshearwoodoc@nifty.com',\n",
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       " 'svaulkhardoe@is.gd',\n",
       " 'rpembleof@state.gov',\n",
       " 'awaseog@java.com',\n",
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       " 'ckerrichoj@trellian.com',\n",
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       " 'dgoulbornol@whitehouse.gov',\n",
       " 'jkieltom@java.com',\n",
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       " 'wleppingtonoo@people.com.cn',\n",
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       " 'mbasilp7@altervista.org',\n",
       " 'ofeirnp8@aol.com',\n",
       " 'gwinsborrowp9@theguardian.com',\n",
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       " 'ttatersalepc@cam.ac.uk',\n",
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       " 'dclemmeype@linkedin.com',\n",
       " 'csustonpf@blogger.com',\n",
       " 'fcollspg@prlog.org',\n",
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       " 'kbetserpi@usatoday.com',\n",
       " 'adalliganpj@guardian.co.uk',\n",
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       " 'hlockettpl@wsj.com',\n",
       " 'dandreoupm@wsj.com',\n",
       " 'dbletsorpn@weather.com',\n",
       " 'lshorttpo@joomla.org',\n",
       " 'gdibiagipp@baidu.com',\n",
       " 'drowantreepq@chicagotribune.com',\n",
       " 'tmonnoyerpr@ucla.edu',\n",
       " 'lpannerps@phoca.cz',\n",
       " 'fmckailept@webs.com',\n",
       " 'travelpu@webmd.com',\n",
       " 'lmoizerpv@dagondesign.com',\n",
       " 'ableesingpw@uiuc.edu',\n",
       " 'dhowtonpx@yahoo.co.jp',\n",
       " 'despositapy@tuttocitta.it',\n",
       " 'vleggingpz@alexa.com',\n",
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       " 'aeelesq2@example.com',\n",
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       " 'koconcannonq6@pen.io',\n",
       " 'cdaddowq7@flickr.com',\n",
       " 'aantonsenq8@whitehouse.gov',\n",
       " 'pcahalinq9@moonfruit.com',\n",
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       " 'wprangerqc@ca.gov',\n",
       " 'jyglesiaqd@devhub.com',\n",
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       " 'stownshendqf@livejournal.com',\n",
       " 'knunnqg@yellowbook.com',\n",
       " 'mtrevesqh@cyberchimps.com',\n",
       " 'priglarqi@princeton.edu',\n",
       " 'srubanenkoqj@narod.ru',\n",
       " 'kananqk@bigcartel.com',\n",
       " 'mwallql@who.int',\n",
       " 'cwingerqm@infoseek.co.jp',\n",
       " 'ssmillieqn@so-net.ne.jp',\n",
       " 'tgriceqo@elegantthemes.com',\n",
       " 'hcurneenqp@hostgator.com',\n",
       " 'dhubeauxqq@twitpic.com',\n",
       " 'ezwickerqr@ucla.edu',\n",
       " 'dmarrowqs@e-recht24.de',\n",
       " 'friolfiqt@macromedia.com',\n",
       " 'rilyukhovqu@jigsy.com',\n",
       " 'mmckallqv@odnoklassniki.ru',\n",
       " 'cportinariqw@parallels.com',\n",
       " 'thavocqx@japanpost.jp',\n",
       " 'rjocicqy@odnoklassniki.ru',\n",
       " 'toloughnanqz@bloglines.com',\n",
       " 'dasletr0@t.co',\n",
       " 'wsabbertonr1@cocolog-nifty.com',\n",
       " 'gberkeryr2@last.fm',\n",
       " 'rberther3@omniture.com',\n",
       " 'rsearsonr4@rambler.ru',\n",
       " 'kpolsonr5@chron.com',\n",
       " 'agrigorinir6@bloglines.com',\n",
       " 'tthoumassonr7@bloglines.com',\n",
       " 'fickovitzr8@oakley.com',\n",
       " 'btryer9@parallels.com',\n",
       " 'hshearstonra@clickbank.net',\n",
       " 'pdrewcliftonrb@nsw.gov.au',\n",
       " 'tkindellrc@amazonaws.com',\n",
       " 'bspeermanrd@blogger.com',\n",
       " 'jlinere@pinterest.com',\n",
       " 'etremathackrf@github.io',\n",
       " 'cgladdisrg@hp.com',\n",
       " 'gnillesrh@usgs.gov',\n",
       " 'btomczynskiri@toplist.cz',\n",
       " 'bsheavillsrj@biblegateway.com',\n",
       " 'amarvelleyrk@miibeian.gov.cn',\n",
       " 'lluxfordrl@redcross.org',\n",
       " 'gwakerleyrm@disqus.com',\n",
       " 'pjeffrn@4shared.com',\n",
       " 'pwarstallro@dropbox.com',\n",
       " 'wvannuccinirp@tuttocitta.it',\n",
       " 'gpetrashkovrq@hostgator.com',\n",
       " 'sfrancescrr@cyberchimps.com']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_emails"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just like that, we have grabbed all the elements of a column in a csv file."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You may notice that in the file, the first and last names are separated. Let's say we want to automate an email towards them and want to adress them by their full name. All we have to do is do another list and use string concatenation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "full_names = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "for line in data_lines[1:]:\n",
    "    full_names.append(line[1]+' '+line[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Joseph Zaniolini',\n",
       " 'Freida Drillingcourt',\n",
       " 'Nanni Herity',\n",
       " 'Orazio Frayling',\n",
       " 'Julianne Murrison',\n",
       " 'Lucy Gamet',\n",
       " 'Dyana Howatt',\n",
       " 'Kassey Herion',\n",
       " 'Chrissy Hedworth',\n",
       " 'Hyatt Gasquoine',\n",
       " 'Felicdad Tarr',\n",
       " 'Andrew Bath',\n",
       " 'Lucais Chastang',\n",
       " 'Car Cerie',\n",
       " 'Alvera Jepp',\n",
       " 'Prescott Caldeiro',\n",
       " 'Nariko Clunie',\n",
       " 'Kalvin Rois',\n",
       " 'Isa Boycott',\n",
       " 'Benedetta Glanert',\n",
       " 'Poul Caroli',\n",
       " 'Virgie Dran',\n",
       " 'Gillie Roantree',\n",
       " 'Tabor Dawidowitsch',\n",
       " 'Sarina Choulerton',\n",
       " 'Elbert Seawell',\n",
       " 'Danita Aldrin',\n",
       " 'Jone Dank',\n",
       " 'Merralee Lampel',\n",
       " 'Charyl Halstead',\n",
       " 'Giuseppe Karolowski',\n",
       " 'Sutherlan Mundee',\n",
       " 'Alexander Oldershaw',\n",
       " 'Blayne Mattusevich',\n",
       " 'Alfredo Bohlens',\n",
       " 'Harman Braidwood',\n",
       " 'Haslett Sudron',\n",
       " 'Jeanelle VanBrugh',\n",
       " 'Hetty Lightollers',\n",
       " 'Elmira Goodhand',\n",
       " 'Granger Lewerenz',\n",
       " 'Tobie Lewson',\n",
       " 'Knox Sainteau',\n",
       " 'Eliot Vedekhov',\n",
       " 'Honey Crenshaw',\n",
       " 'Karmen Soppitt',\n",
       " 'Fairleigh Sivess',\n",
       " 'Angelina Stranio',\n",
       " 'Lilla Erni',\n",
       " 'Penn Batson',\n",
       " 'Salvidor Cawthry',\n",
       " 'Ker Kellock',\n",
       " 'Lorne Smouten',\n",
       " 'Elijah Sore',\n",
       " 'Paxton Chsteney',\n",
       " 'Ernie Eddies',\n",
       " 'Deb Endicott',\n",
       " 'Morna Masse',\n",
       " 'Gregorius Drains',\n",
       " 'Raynard Teaz',\n",
       " 'Harrietta Northey',\n",
       " 'Cariotta Le Breton De La Vieuville',\n",
       " 'Lisetta Allbones',\n",
       " 'Danielle Jeduch',\n",
       " 'Ingra Andriolli',\n",
       " 'Ferdinand Cruickshanks',\n",
       " 'Salomi Pinnock',\n",
       " 'Lurlene Snazel',\n",
       " 'Penni Sells',\n",
       " 'Stormie Dougal',\n",
       " 'Baily Hallwell',\n",
       " 'Kristofor Recke',\n",
       " 'Cherey Dorricott',\n",
       " 'Phillip Bartolijn',\n",
       " 'Karil Hefford',\n",
       " 'Loise Issacof',\n",
       " 'Rickie Laybourn',\n",
       " 'Orella Giacomuzzo',\n",
       " \"Calli D'orsay\",\n",
       " 'Harli Fakeley',\n",
       " 'Edvard Morilla',\n",
       " 'Almira Eastmead',\n",
       " 'Kort Blooman',\n",
       " 'Sigmund Sessions',\n",
       " 'Winna Dodshon',\n",
       " 'Norton Raiston',\n",
       " 'Moss Doche',\n",
       " 'Jeanna Mazey',\n",
       " 'Kerrin Rojahn',\n",
       " 'Luca Frazier',\n",
       " 'Faina Jarville',\n",
       " 'Skelly Cragg',\n",
       " 'Mike Kennewell',\n",
       " 'Trever Bradie',\n",
       " 'Ferdinande Drought',\n",
       " 'Brenda Guiel',\n",
       " 'Matthiew Vanyukov',\n",
       " 'Rosalie Stribbling',\n",
       " 'Flor Giuron',\n",
       " 'Ax Bristowe',\n",
       " 'Guglielma Magenny',\n",
       " 'Kyla Crosse',\n",
       " 'Brittan Bubb',\n",
       " 'Corri Rubinowicz',\n",
       " 'Korney Prestidge',\n",
       " 'Paddie Dary',\n",
       " 'Ase Fibbens',\n",
       " 'Susi Pawsey',\n",
       " 'Jo Walak',\n",
       " 'Ardelia Vasilyonok',\n",
       " 'Alis Stammer',\n",
       " 'Al Gravatt',\n",
       " 'Osborne Fendlow',\n",
       " 'Brook Purvey',\n",
       " 'Mag Feechan',\n",
       " 'Luigi Reaveley',\n",
       " 'Tymon Castro',\n",
       " 'Minnaminnie MacNair',\n",
       " 'Hugues MacFarlane',\n",
       " 'Fianna Moizer',\n",
       " 'Morton Derby',\n",
       " 'Carita Tomet',\n",
       " 'Beulah MacGowan',\n",
       " 'Etta Riccardelli',\n",
       " 'Udall Chevers',\n",
       " 'Javier Spitell',\n",
       " 'Munmro Snelling',\n",
       " 'Carina Moxon',\n",
       " 'Crissy Murdie',\n",
       " 'Karrah Danshin',\n",
       " 'Idalina Hartup',\n",
       " 'Denice Cargon',\n",
       " 'Courtnay Tosh',\n",
       " 'Harp Szymoni',\n",
       " 'Franklin Tregian',\n",
       " 'Celestyna Jacquemy',\n",
       " 'Silva Pittham',\n",
       " 'Kendra Arnow',\n",
       " 'Cordie Monier',\n",
       " 'Tabbitha Padbery',\n",
       " 'Haydon Sheran',\n",
       " 'Halli Clempton',\n",
       " 'Gwenette Helling',\n",
       " 'Ermina Carff',\n",
       " 'Tedd Howler',\n",
       " 'Wren Janc',\n",
       " 'Anatola Upsale',\n",
       " 'Ken Muirhead',\n",
       " 'Jerri Bohje',\n",
       " 'Julie Kopacek',\n",
       " 'Ingelbert Loveday',\n",
       " 'Elaina Yanez',\n",
       " 'Uri Aven',\n",
       " 'Ally Clausen-Thue',\n",
       " 'Ki Clew',\n",
       " 'Francesca Cottham',\n",
       " 'Aida Mundy',\n",
       " 'Aloin Dimelow',\n",
       " 'Edgar Raithbie',\n",
       " 'Thorvald Gunstone',\n",
       " 'Temp Karet',\n",
       " 'Corinna Naismith',\n",
       " 'Cinnamon Birchenhead',\n",
       " 'Tilda Couser',\n",
       " 'Tildi Kimbell',\n",
       " 'Jeno Marran',\n",
       " 'Mariska Noble',\n",
       " 'Rozelle Northrop',\n",
       " 'Petey Thompkins',\n",
       " 'Alvie Pyffe',\n",
       " 'Kev MacKniely',\n",
       " 'Matelda Wycliffe',\n",
       " 'Leoline Flawith',\n",
       " 'Malachi Fodden',\n",
       " 'Pierrette Abramow',\n",
       " 'Lynn Sames',\n",
       " 'Krisha Jinkins',\n",
       " 'Cassie Bramich',\n",
       " 'Cynthia MacTurlough',\n",
       " 'Care Lademann',\n",
       " 'Torrey Nye',\n",
       " 'Conni Higgan',\n",
       " 'Franky Casarini',\n",
       " 'Alva Feechan',\n",
       " 'Gaby Synder',\n",
       " 'Andy Varley',\n",
       " 'Ronda Heavens',\n",
       " 'Elwin Hounsham',\n",
       " 'Faythe Pither',\n",
       " 'Carling Arkell',\n",
       " 'Kurtis Saddington',\n",
       " 'Dennison Woolatt',\n",
       " 'Leda Luchetti',\n",
       " 'Britt Vile',\n",
       " 'Gertrude Iddison',\n",
       " 'Kathi Kerne',\n",
       " 'Caitlin Zannutti',\n",
       " 'Sanson Ramelot',\n",
       " 'Krista Cowoppe',\n",
       " 'Laurella Hotchkin',\n",
       " 'Juliane Koba',\n",
       " 'Tobe Hamlyn',\n",
       " 'Neddie Kwietek',\n",
       " 'Dav Donet',\n",
       " 'Amelia Peggs',\n",
       " 'Robby Heijnen',\n",
       " 'Loria Serrier',\n",
       " 'Nan Witch',\n",
       " 'Mauricio Curr',\n",
       " 'Micheal Whiteson',\n",
       " 'Denys Esmonde',\n",
       " 'Sibilla Stachini',\n",
       " 'Enrique Roman',\n",
       " 'Edyth Macartney',\n",
       " 'Lisetta Bigglestone',\n",
       " 'Colin Younghusband',\n",
       " 'Britni Cottham',\n",
       " 'Matias Tudor',\n",
       " \"Carina O' Ronan\",\n",
       " 'Albrecht Airds',\n",
       " 'Randy Sazio',\n",
       " 'Timmie Scotti',\n",
       " 'Gerik Milligan',\n",
       " 'Ardys Diben',\n",
       " 'Ellery Bruni',\n",
       " 'Clarence Blenkiron',\n",
       " 'Jackie Jiruch',\n",
       " 'Melisent Northwood',\n",
       " 'Jeffy Dalliston',\n",
       " 'Joanne Lyburn',\n",
       " 'Yulma Castagneri',\n",
       " 'Marielle Chrystal',\n",
       " 'Haskell Klimshuk',\n",
       " 'Cob Mardall',\n",
       " 'Shep Voyce',\n",
       " 'Geno Crayden',\n",
       " 'Friedrich Giblin',\n",
       " 'Desmund Belamy',\n",
       " 'Rafe Wratten',\n",
       " 'Flo Sorrie',\n",
       " 'Elvina Dulwitch',\n",
       " 'Dell Rafe',\n",
       " 'Diena Jahan',\n",
       " 'Gino Skuce',\n",
       " 'Heath Eastmond',\n",
       " 'Meg McKirdy',\n",
       " 'Hastie Hadley',\n",
       " 'Westleigh Willetts',\n",
       " 'Lee Bagnal',\n",
       " 'Hildegaard Fairey',\n",
       " 'Easter Hamshere',\n",
       " 'Elton Tows',\n",
       " 'Verile Gunning',\n",
       " 'Brandtr Margeram',\n",
       " 'Ozzie Zecchii',\n",
       " 'Daniella Jindra',\n",
       " 'Shoshanna Stollsteimer',\n",
       " 'Benton Jahnig',\n",
       " 'Noel Selliman',\n",
       " 'Clarke Tidcomb',\n",
       " 'Brigitta Haquin',\n",
       " 'Claribel Dosedale',\n",
       " 'Gallard Wanden',\n",
       " 'Marleah Shevlan',\n",
       " 'Saundra Butterfint',\n",
       " 'Opalina Bleier',\n",
       " 'Shaughn Antoniades',\n",
       " 'Kathleen Treswell',\n",
       " 'Mufinella Santo',\n",
       " 'Marlin Wheeliker',\n",
       " 'Aldon Wozencraft',\n",
       " 'Beaufort Petrello',\n",
       " \"Marmaduke O'Malley\",\n",
       " 'Kathryn MacManus',\n",
       " 'Eve Clother',\n",
       " 'Obediah Janus',\n",
       " 'Emmy Negri',\n",
       " 'Mill Wesson',\n",
       " 'Tiertza Bullivent',\n",
       " 'Berne Scrivener',\n",
       " 'Rozella Shirlaw',\n",
       " 'Emmit Cruttenden',\n",
       " 'Iseabal Terron',\n",
       " 'Michele Garritley',\n",
       " 'Theodoric Deave',\n",
       " 'Sibilla Alesi',\n",
       " 'Erick Austick',\n",
       " 'Hercules Dowall',\n",
       " 'Ellene Glisane',\n",
       " 'Bren Marchenko',\n",
       " 'Oralee Letchmore',\n",
       " 'Hamilton Horsley',\n",
       " 'Fanya Gartan',\n",
       " 'Godfrey Cattrell',\n",
       " 'Vania Sinnott',\n",
       " 'Osmond Reichert',\n",
       " 'Colline Meadowcroft',\n",
       " 'Marybelle Neathway',\n",
       " 'Laetitia Sidry',\n",
       " 'Gasparo Burr',\n",
       " 'Darin Gitting',\n",
       " 'Lotti Linnock',\n",
       " 'Lilly Annear',\n",
       " 'Freda Winslade',\n",
       " 'Stavros McGeady',\n",
       " 'Marje Fordyce',\n",
       " 'Willard Widdall',\n",
       " 'Meridel Ledford',\n",
       " 'Catrina Whiskerd',\n",
       " 'Chucho Lewton',\n",
       " 'Rakel Fitzsymons',\n",
       " 'Caye Canton',\n",
       " 'Clari Thowless',\n",
       " 'Thia Vasyanin',\n",
       " 'Laird Insoll',\n",
       " 'Jany Holbie',\n",
       " 'Adlai Harm',\n",
       " 'Doy Riccetti',\n",
       " 'Elvera Bowdrey',\n",
       " 'Kalli Critcher',\n",
       " 'Carny Growden',\n",
       " 'Brook Caff',\n",
       " 'Frankie Warburton',\n",
       " 'Mahmud Ferby',\n",
       " 'Tamas MacPaik',\n",
       " 'Tulley Twiggs',\n",
       " 'Tony Venny',\n",
       " 'Dwain Verrick',\n",
       " 'Adaline Gligoraci',\n",
       " 'Bronny Innman',\n",
       " 'Sydel Sherland',\n",
       " 'Nelie Barnard',\n",
       " 'Keary Jamary',\n",
       " 'Elwood Mingardi',\n",
       " 'Ellwood Meegan',\n",
       " 'Berry Gribbins',\n",
       " 'Alys Gerge',\n",
       " 'Mufinella Harcus',\n",
       " 'Nap Messiter',\n",
       " 'Hy Drewry',\n",
       " 'Maressa Andras',\n",
       " 'Gayla Hebbes',\n",
       " 'Stephenie Hurt',\n",
       " 'Sergei Blumson',\n",
       " 'Berke Fashion',\n",
       " 'Gal Bestiman',\n",
       " 'Rosalind Macieja',\n",
       " 'Roderick Hush',\n",
       " 'Libbie Gabbotts',\n",
       " 'Pippy Thickins',\n",
       " 'Manny Denny',\n",
       " 'Florie Cuthbertson',\n",
       " 'Simone McMychem',\n",
       " 'Lyn Chivers',\n",
       " 'Devlin Woodhouse',\n",
       " 'Dulcie Dower',\n",
       " 'Aaron Baker',\n",
       " \"Benedikta O'Crevan\",\n",
       " 'Saudra McGrill',\n",
       " 'Meggy Birbeck',\n",
       " 'Link McGuinness',\n",
       " 'Bertha Vondrach',\n",
       " 'Nert Finby',\n",
       " 'Fairleigh Brunt',\n",
       " 'Genni Cabrales',\n",
       " 'Rosella Kenney',\n",
       " 'Rodrique Elderbrant',\n",
       " 'Moise Kaspar',\n",
       " 'Betteann Mayall',\n",
       " 'Colleen Ikringill',\n",
       " 'Eleni Yakushkev',\n",
       " 'Carolus Sainz',\n",
       " 'Towney Slimme',\n",
       " 'Fifine Petto',\n",
       " 'Ernesto Schlag',\n",
       " 'Rorke Coot',\n",
       " 'Courtney Terry',\n",
       " 'Delinda Jirka',\n",
       " 'Kipp Grigoletti',\n",
       " 'Bailey Colbeck',\n",
       " 'Wilburt Gopsall',\n",
       " 'Venita Bainbridge',\n",
       " 'Lelia Collingworth',\n",
       " 'Kate Cusworth',\n",
       " 'Lenore Domenicone',\n",
       " 'Fidole Drillingcourt',\n",
       " 'Kariotta Diloway',\n",
       " 'Camila Beveredge',\n",
       " 'Myrwyn Marcham',\n",
       " 'Stephi Miskimmon',\n",
       " 'Averill Sciusscietto',\n",
       " 'Caleb Satch',\n",
       " 'Curt Rowlands',\n",
       " 'Randie McKennan',\n",
       " 'Jacenta Follacaro',\n",
       " 'Danie Baddam',\n",
       " 'Lucius Rankmore',\n",
       " 'Teddie Iglesia',\n",
       " 'Chaunce Boyse',\n",
       " 'Gerrie Cronkshaw',\n",
       " 'Alexandra Ortsmann',\n",
       " 'Jillian Larrett',\n",
       " 'Jens Shewan',\n",
       " 'Lloyd Staunton',\n",
       " 'York Tockell',\n",
       " 'Gardiner Watterson',\n",
       " 'Ernesto Doughartie',\n",
       " 'Lanni Nice',\n",
       " 'Jeannie Slane',\n",
       " 'Obediah Akers',\n",
       " 'Minnnie Tomkinson',\n",
       " 'Salomone Arsey',\n",
       " 'Vernen Linnock',\n",
       " 'Ignatius Fleeman',\n",
       " 'Orton Motte',\n",
       " 'Ferdinande Vasenkov',\n",
       " 'Sayer Derks',\n",
       " 'Joycelin MacCallion',\n",
       " 'Marice Armin',\n",
       " 'Misti Feaveer',\n",
       " 'Myles Gordge',\n",
       " 'Anissa Trowler',\n",
       " 'Willi Human',\n",
       " 'Branden Muglestone',\n",
       " 'Saxe Hegdonne',\n",
       " 'Therine Kelsell',\n",
       " 'Pietrek Athersmith',\n",
       " 'Humberto Bengtsen',\n",
       " 'Lilli De Bruijne',\n",
       " 'Lizette MacCard',\n",
       " 'Edwina Colleer',\n",
       " 'Channa Kuhnhardt',\n",
       " 'Melva Walbrook',\n",
       " 'Carlie Belone',\n",
       " 'Christiano Bru',\n",
       " 'Mary Reven',\n",
       " 'Sib Chavey',\n",
       " 'Aurlie Mossop',\n",
       " 'Antonina Evershed',\n",
       " 'Ajay Orth',\n",
       " 'Ollie Codlin',\n",
       " 'Boycey Chanter',\n",
       " 'Flory Coch',\n",
       " 'Donavon Lackeye',\n",
       " 'Vivyan Staley',\n",
       " 'Robinetta Perse',\n",
       " 'Lisbeth Huetson',\n",
       " 'Sidonnie Ianelli',\n",
       " 'Yetty Creebo',\n",
       " 'Reuven Surgeon',\n",
       " 'Tommi Gooda',\n",
       " 'Mac Edelston',\n",
       " 'Lavinia Englefield',\n",
       " 'Randall Balser',\n",
       " 'Griffy Anand',\n",
       " 'Penni Sharpley',\n",
       " 'Torr Briggdale',\n",
       " 'Sauveur Povele',\n",
       " 'Bea Vallerine',\n",
       " 'Holt Strippling',\n",
       " 'Dell Blewitt',\n",
       " 'Anett Bertrand',\n",
       " 'Alford Rowbottom',\n",
       " 'Merralee Fidelli',\n",
       " 'Fidole Hove',\n",
       " 'Eldredge Corbally',\n",
       " 'Carlin Mc Combe',\n",
       " 'Penelope Rehme',\n",
       " 'Susann Sciusscietto',\n",
       " 'Zorah MacMenemy',\n",
       " 'Andrew Label',\n",
       " 'Claudina Scogin',\n",
       " 'Skippie Obern',\n",
       " 'Pandora Gadie',\n",
       " 'Evy Hoyer',\n",
       " 'Dinny Avo',\n",
       " 'Elyn Giraldo',\n",
       " 'Brewer Lowdwell',\n",
       " 'Fanya Backshall',\n",
       " 'Brockie Rioch',\n",
       " 'Wyatt Ribbens',\n",
       " 'Annette Griffin',\n",
       " 'Dorothy Barnard',\n",
       " 'Lexis Drillingcourt',\n",
       " 'Rhodia Bainton',\n",
       " 'Eli Hammerson',\n",
       " 'Danella Hancox',\n",
       " 'Jody Hounsom',\n",
       " 'Bradan Crain',\n",
       " 'Asher Roycroft',\n",
       " 'Gaylor Southcott',\n",
       " 'Bondy Josefer',\n",
       " 'Darelle Parkey',\n",
       " \"Nikos O'Lyhane\",\n",
       " 'Glenn Gellion',\n",
       " 'Laryssa Foucher',\n",
       " 'Lewes Bonome',\n",
       " 'Taber Critchley',\n",
       " 'Julie Tomaselli',\n",
       " 'Jacqueline Bourgourd',\n",
       " 'Ambur Holdey',\n",
       " 'Sabine Lyosik',\n",
       " 'Gladys Bandt',\n",
       " 'Paten Vasyukhichev',\n",
       " 'Hunter Creggan',\n",
       " 'Robert Dodridge',\n",
       " 'Cash Dunklee',\n",
       " 'Thurstan Broomhall',\n",
       " 'Garald Hackin',\n",
       " 'Novelia Dureden',\n",
       " 'Cathlene Elgood',\n",
       " 'Tyler Latore',\n",
       " 'Filbert Bulloch',\n",
       " 'Katherine Dand',\n",
       " 'Ferdy Richold',\n",
       " 'Warner Almond',\n",
       " 'Lorrie Elcomb',\n",
       " 'Granville Garnsworth',\n",
       " 'Tye Labon',\n",
       " 'Raoul Comelli',\n",
       " 'Candida Jikylls',\n",
       " 'Noni Whoston',\n",
       " 'Laurent Althorp',\n",
       " 'Dwight Messenger',\n",
       " 'Vinny Riddell',\n",
       " 'Wendie Shaplin',\n",
       " 'Shurwood Sisneros',\n",
       " 'Brenda Rogliero',\n",
       " 'Alyce Scotter',\n",
       " 'Clare Swainson',\n",
       " 'Lurleen Kerswill',\n",
       " 'Woodman Hadny',\n",
       " 'Gerianne Tryhorn',\n",
       " 'Avigdor Stadden',\n",
       " 'Dennet Plessing',\n",
       " 'Tabbie Farge',\n",
       " 'Cristionna MacBain',\n",
       " 'Leonie Brocket',\n",
       " 'Lief Bielby',\n",
       " 'Kellen Chew',\n",
       " 'Chico Lismore',\n",
       " 'Dan Baldetti',\n",
       " 'Stormi Schimke',\n",
       " 'Letta Meneyer',\n",
       " 'Adah Larder',\n",
       " 'Gerri McQuade',\n",
       " 'Parke Charteris',\n",
       " 'Chico Hardwick',\n",
       " 'Peder Coakley',\n",
       " 'Chelsea Verriour',\n",
       " 'Carina Yurmanovev',\n",
       " 'Brittne Hawkshaw',\n",
       " 'Candy Dreakin',\n",
       " 'Raynard Sperring',\n",
       " 'Angel covino',\n",
       " 'Judy Yesenev',\n",
       " 'Thibaut Demsey',\n",
       " 'Esmaria Tidman',\n",
       " 'Michaela Yandle',\n",
       " 'Lincoln Conboy',\n",
       " 'Bartram Agass',\n",
       " 'Guendolen Iacovino',\n",
       " 'Glenda Shenley',\n",
       " 'Dedra Kempe',\n",
       " 'Paten Selborne',\n",
       " 'Mill Tanguy',\n",
       " 'Jonathan Abbess',\n",
       " 'Lester Dyton',\n",
       " 'Hynda Dahlback',\n",
       " 'Willi Crannach',\n",
       " 'Hinda Reinisch',\n",
       " 'Margareta Strainge',\n",
       " 'Modestine Rayer',\n",
       " 'Maurizia Costen',\n",
       " 'Crosby Rosenfelt',\n",
       " 'Willie von Grollmann',\n",
       " 'Laurice Pople',\n",
       " 'Colan Cluet',\n",
       " 'Bertina Buist',\n",
       " 'Alli Creedland',\n",
       " 'Engelbert Fahy',\n",
       " 'Arch Wightman',\n",
       " 'Allyn Towl',\n",
       " 'Valenka Thirwell',\n",
       " 'Kelsi Roaf',\n",
       " 'Elspeth Kleinzweig',\n",
       " 'Roderick Burgis',\n",
       " 'Keven Grinham',\n",
       " 'Jere Ganley',\n",
       " 'Larry Sircombe',\n",
       " \"Jacques O'Nion\",\n",
       " 'Herbert Sugg',\n",
       " 'Nettle Sinncock',\n",
       " 'Ogdan Paffot',\n",
       " 'Emile Rosellini',\n",
       " 'Lenee Howsin',\n",
       " 'Nonie Slaymaker',\n",
       " 'Wilhelmina Muzzini',\n",
       " 'Lesley Gerok',\n",
       " 'Aubrey McIlhagga',\n",
       " 'Cassey Juanes',\n",
       " 'Leigh Bernaert',\n",
       " 'Clarita Nast',\n",
       " 'Darin Grigoire',\n",
       " 'Noemi Tuttiett',\n",
       " 'Garrik Pauleau',\n",
       " 'Carlos McComiskey',\n",
       " 'Yves Heynel',\n",
       " 'Patric Herculeson',\n",
       " 'Cam Alesbrook',\n",
       " 'Nydia Edmenson',\n",
       " 'Norina Greening',\n",
       " 'Alexandros Prettyman',\n",
       " 'Neddie Clothier',\n",
       " 'Rudolfo Silly',\n",
       " 'Kerrie Casemore',\n",
       " 'Wylie De Fries',\n",
       " 'Lea Errington',\n",
       " 'Woodrow Brechin',\n",
       " 'Stafani Boggish',\n",
       " 'Jakob Varns',\n",
       " 'Norma Calley',\n",
       " 'Victoir Yurenev',\n",
       " 'Cassey Rockhall',\n",
       " 'Nilson Kimberley',\n",
       " 'Gwendolin Joselson',\n",
       " 'Reggie Bushaway',\n",
       " 'Giorgia Dundredge',\n",
       " 'Pietra McAleese',\n",
       " 'Ellynn Peterken',\n",
       " 'Umberto Schermick',\n",
       " 'Mildrid Osban',\n",
       " 'Emera Digges',\n",
       " 'Krissie Nore',\n",
       " 'Jeannine Phlippsen',\n",
       " 'Wolf Klasen',\n",
       " 'Allistir Rollingson',\n",
       " 'Suzann Hugli',\n",
       " 'Nick Lesek',\n",
       " 'Adams Denisevich',\n",
       " 'Bird Meritt',\n",
       " 'Erastus Constanza',\n",
       " 'Dinah Jandourek',\n",
       " 'Edmund Dales',\n",
       " \"Justin O'Donovan\",\n",
       " 'Aeriela Thumnel',\n",
       " 'Abbie Allett',\n",
       " 'Ede Margrem',\n",
       " 'Danette Darcy',\n",
       " 'Betsey Cracknell',\n",
       " 'Ciro Caldicot',\n",
       " 'Devlen Roast',\n",
       " 'Brandy Conichie',\n",
       " 'Kimmi Kay',\n",
       " 'Kincaid Bitcheno',\n",
       " 'Lolita Castelletti',\n",
       " 'Murray MacDermott',\n",
       " 'Christie Haggath',\n",
       " 'Cassey Swidenbank',\n",
       " 'Rozanna Sambiedge',\n",
       " 'Alex Ayce',\n",
       " 'Salvador Daunter',\n",
       " 'Nobie Winks',\n",
       " 'Carling Von Brook',\n",
       " 'Lazaro Buckby',\n",
       " 'Berta Bleackly',\n",
       " 'Amalee Collocott',\n",
       " 'Penrod Tures',\n",
       " 'Isa Broxton',\n",
       " 'Bonny Folbige',\n",
       " 'Nerte Dayly',\n",
       " 'Linet Shiliton',\n",
       " 'Misti Lambell',\n",
       " 'Gwendolin McCart',\n",
       " 'Alisander Speenden',\n",
       " 'Jaquith Satterthwaite',\n",
       " 'Lucie Hadcock',\n",
       " 'Phedra Pampling',\n",
       " 'Kenton Toal',\n",
       " 'Bess Meryett',\n",
       " 'Harman Cowburn',\n",
       " 'Bobbye Rawls',\n",
       " 'Gasparo Ecclesall',\n",
       " 'Deana Glasscoe',\n",
       " 'Rani Colerick',\n",
       " 'Federico Rudinger',\n",
       " 'Cyrille Durram',\n",
       " 'Gunar Belleny',\n",
       " 'Arabel Denzilow',\n",
       " 'Curt Carville',\n",
       " 'Marvin Garshore',\n",
       " 'Jonathan Headingham',\n",
       " 'Jerrilee Saxton',\n",
       " 'Viva Robberts',\n",
       " 'Freeland Stockow',\n",
       " 'Fancy Hengoed',\n",
       " 'Dionysus Gresser',\n",
       " 'Hebert Madden',\n",
       " 'Humbert Luigi',\n",
       " 'Elladine Corbally',\n",
       " 'Trumann McFarlan',\n",
       " 'Dan Sawbridge',\n",
       " 'Clerkclaude Timoney',\n",
       " 'Marietta Dench',\n",
       " 'Patty Millimoe',\n",
       " 'Jeth Pettiward',\n",
       " 'Marlo Hendrix',\n",
       " 'Marnie Hans',\n",
       " 'Bunni DeSousa',\n",
       " 'Frans Kuhl',\n",
       " 'Cosetta Edgecombe',\n",
       " 'Crissy Pinckard',\n",
       " 'Ailene Billison',\n",
       " 'Johna Ellacott',\n",
       " 'Candide Shepstone',\n",
       " 'Bibi De Banke',\n",
       " 'Delores Haug',\n",
       " 'Kendricks Duigenan',\n",
       " 'Bernie Rattenberie',\n",
       " 'Abbe Trevarthen',\n",
       " 'Jae Matyushonok',\n",
       " 'Babs Dixcey',\n",
       " 'Betta Poxon',\n",
       " 'Mame Byatt',\n",
       " 'Jennilee Strasse',\n",
       " 'Sutton Jelk',\n",
       " 'Vannie Landrick',\n",
       " 'Phyllida Kryszka',\n",
       " 'Burt Saffill',\n",
       " 'Nelson Crudginton',\n",
       " 'Thomasin Robilart',\n",
       " 'Lari Tomovic',\n",
       " 'Rica Stable',\n",
       " 'Colver Munnis',\n",
       " 'Jerald Beesley',\n",
       " 'Reyna Cawtheray',\n",
       " 'Buiron Vlasenko',\n",
       " 'Jennine Chartman',\n",
       " 'Dallis Aldus',\n",
       " 'Carlotta McIlvaney',\n",
       " 'Tanya Raye',\n",
       " 'Idelle Jupp',\n",
       " 'Andeee Stocking',\n",
       " 'Ivie Jewise',\n",
       " 'Prentiss Lackington',\n",
       " 'Nikki Hagerty',\n",
       " 'Dannie Gowling',\n",
       " 'Francene Burnes',\n",
       " 'Troy Fawley',\n",
       " 'Randi Surr',\n",
       " 'Skipper Naisbit',\n",
       " 'Prince Halso',\n",
       " 'Dov Apthorpe',\n",
       " 'Tilda Milner',\n",
       " 'Siegfried Stewartson',\n",
       " 'Ulick Keddie',\n",
       " 'Portie Fydoe',\n",
       " 'Matty Souness',\n",
       " 'Mei Hamel',\n",
       " 'Kenton Kegg',\n",
       " 'Tabbie Wyatt',\n",
       " 'Woody Rooms',\n",
       " 'Erina Bocock',\n",
       " 'Bronnie Lutz',\n",
       " 'Alix Dohmer',\n",
       " 'Eberto Rumin',\n",
       " 'Ambrosio Burley',\n",
       " 'Skippy Odell',\n",
       " 'Killian Tillyer',\n",
       " 'Walsh Doni',\n",
       " 'Roseline Dotterill',\n",
       " 'Ariel MacMarcuis',\n",
       " 'Sherri Runacres',\n",
       " 'Belita Gorringe',\n",
       " 'Britt Kitteman',\n",
       " 'Adaline Mahony',\n",
       " 'Simeon Diloway',\n",
       " 'Nealon Dysert',\n",
       " 'Eduardo Hartman',\n",
       " 'Merline Augustine',\n",
       " 'Samara Spall',\n",
       " 'Irita Sherratt',\n",
       " 'Devonna McCaighey',\n",
       " 'Ripley McGowran',\n",
       " 'Dom Hailwood',\n",
       " 'Don Sacco',\n",
       " 'Tammy Lidierth',\n",
       " 'Quill Dewey',\n",
       " 'Jannelle Chuck',\n",
       " 'Tomasine Dennick',\n",
       " 'Mayne Brusle',\n",
       " 'Cart Escot',\n",
       " 'Emerson Southgate',\n",
       " 'Gino Delepine',\n",
       " 'Perrine Beranek',\n",
       " 'Alfonso Jados',\n",
       " 'Hali Dragonette',\n",
       " 'Bebe Mellhuish',\n",
       " 'Constantia Tomaskunas',\n",
       " 'Ashley Wollard',\n",
       " 'Aime Bruckman',\n",
       " 'Temp McMearty',\n",
       " 'Belita Kynge',\n",
       " 'Irma Gillford',\n",
       " 'Mariejeanne Mound',\n",
       " 'Shannah Daudray',\n",
       " 'Wolfy Degli Antoni',\n",
       " 'Kev Bagniuk',\n",
       " 'Tobi Doyland',\n",
       " 'Daniela Crosskell',\n",
       " 'Hayden Quade',\n",
       " 'Jodee Kitteman',\n",
       " 'Corina Lockart',\n",
       " 'Delcina MacAnelley',\n",
       " 'Yuma Tattershall',\n",
       " 'Jonathon Ipplett',\n",
       " 'Aura MacMychem',\n",
       " 'Pierre Wortman',\n",
       " 'Lowe Scini',\n",
       " 'Giustina Huckabe',\n",
       " 'Nannie Harrismith',\n",
       " 'Denny Bowry',\n",
       " 'Carney Maunders',\n",
       " 'Fonsie de Marco',\n",
       " 'Zelig Sparrowhawk',\n",
       " 'Irvine Mill',\n",
       " 'Gracie Dorsett',\n",
       " 'Pen Lundy',\n",
       " 'Arni Ducarel',\n",
       " 'Carrie Goding',\n",
       " 'Sonya Clifft',\n",
       " 'Chilton Josland',\n",
       " 'Melly Furphy',\n",
       " 'Nial Garcia',\n",
       " 'Nerta Patrick',\n",
       " 'Kissee Busby',\n",
       " 'Ellene Rosenstein',\n",
       " 'Jessamine St. Paul',\n",
       " 'Constantino Truin',\n",
       " 'Anitra Kopf',\n",
       " 'Sigismund Barnish',\n",
       " 'Giustina Dumblton',\n",
       " 'Amye Siely',\n",
       " 'Chaim Miche',\n",
       " 'Chev Polson',\n",
       " 'Sherwin Marriage',\n",
       " 'Babara Konke',\n",
       " 'Ethelind Gloster',\n",
       " 'Betteann Tsarovic',\n",
       " 'Montague Devoy',\n",
       " 'Sibelle Godfray',\n",
       " 'Flinn Daspar',\n",
       " 'Dalis Caves',\n",
       " 'Christin Worters',\n",
       " 'Gayel Goodluck',\n",
       " 'Lilli Skinner',\n",
       " 'Norrie Emmanuele',\n",
       " 'Stanislaw McClenan',\n",
       " 'Leilah St. Leger',\n",
       " 'Ingemar Gierok',\n",
       " 'Winnah Sprowell',\n",
       " 'Kim Boldry',\n",
       " 'Katrina Hexam',\n",
       " 'Tucky Tiley',\n",
       " 'Lanette Trainor',\n",
       " 'Marcia Custy',\n",
       " 'Obadiah Delahunt',\n",
       " 'Denny Avrahamy',\n",
       " 'Casey Di Claudio',\n",
       " 'Jessie Willimot',\n",
       " 'Hanni MacInherney',\n",
       " 'Titos Poppy',\n",
       " 'Mariann Matyugin',\n",
       " 'Kimble Kneebone',\n",
       " 'Raynell Tollerfield',\n",
       " 'Annie Woolford',\n",
       " 'Ryun Shearwood',\n",
       " 'Martynne Valerio',\n",
       " 'Sherman Vaulkhard',\n",
       " 'Regina Pemble',\n",
       " 'Aggi Wase',\n",
       " 'Yorke Hurran',\n",
       " 'Miller Kegley',\n",
       " 'Carlos Kerrich',\n",
       " 'Lezley Langshaw',\n",
       " 'Dewain Goulborn',\n",
       " 'Jorgan Kielt',\n",
       " 'Robinetta Normabell',\n",
       " 'Webster Leppington',\n",
       " 'Ruby Farnworth',\n",
       " 'Rozele Moncarr',\n",
       " 'Lorine Warrillow',\n",
       " 'Minta Counihan',\n",
       " 'Janel Atkirk',\n",
       " 'Adelice Huckerbe',\n",
       " 'Wendy Meynell',\n",
       " 'Iain Husk',\n",
       " 'Antonia Tarbet',\n",
       " 'Cooper Cloney',\n",
       " 'Lizzy Spittles',\n",
       " 'Bryana Champ',\n",
       " 'Georgi Bleas',\n",
       " 'Fonsie Bonehill',\n",
       " 'Phil Tsarovic',\n",
       " 'Delores Fenwick',\n",
       " 'Clarisse Tilmouth',\n",
       " 'Abbott Caustic',\n",
       " 'Martyn Basil',\n",
       " 'Orly Feirn',\n",
       " 'Gabriell Winsborrow',\n",
       " 'Noreen Glidder',\n",
       " 'Dorelle Thwaites',\n",
       " 'Ted Tatersale',\n",
       " 'Delinda Kiebes',\n",
       " 'Desirae Clemmey',\n",
       " 'Carly Suston',\n",
       " 'Fleming Colls',\n",
       " 'Terrijo Hemeret',\n",
       " 'Kane Betser',\n",
       " 'Abner Dalligan',\n",
       " 'Jolie Brightie',\n",
       " 'Hastings Lockett',\n",
       " 'Duffie Andreou',\n",
       " 'Darryl Bletsor',\n",
       " 'Loise Shortt',\n",
       " 'Gian Di Biagi',\n",
       " 'Dallas Rowantree',\n",
       " 'Trevar Monnoyer',\n",
       " 'Lorilyn Panner',\n",
       " 'Felipa McKaile',\n",
       " 'Tiffanie Ravel',\n",
       " 'Leroy Moizer',\n",
       " 'Addy Bleesing',\n",
       " 'Dewie Howton',\n",
       " 'Dianne Esposita',\n",
       " 'Verney Legging',\n",
       " 'Kaitlyn Inge',\n",
       " 'Erwin Hobson',\n",
       " 'Aarika Eeles',\n",
       " 'Aurora Stockdale',\n",
       " 'Catherina Toner',\n",
       " 'Claiborne Yanyushkin',\n",
       " \"Kass O' Concannon\",\n",
       " 'Carolina Daddow',\n",
       " 'Aaron Antonsen',\n",
       " 'Paton Cahalin',\n",
       " 'Angie Spyby',\n",
       " 'Karlan Woolgar',\n",
       " 'Walsh Pranger',\n",
       " 'Jacqueline Yglesia',\n",
       " 'Parnell Kinloch',\n",
       " 'Shena Townshend',\n",
       " 'Kelli Nunn',\n",
       " 'Minda Treves',\n",
       " 'Perren Riglar',\n",
       " 'Shurlock Rubanenko',\n",
       " 'Karlik Anan',\n",
       " 'Mayne Wall',\n",
       " 'Catherin Winger',\n",
       " 'Sioux Smillie',\n",
       " 'Tobin Grice',\n",
       " 'Hercules Curneen',\n",
       " 'Darcie Hubeaux',\n",
       " 'Ellyn Zwicker',\n",
       " 'Davide Marrow',\n",
       " 'Finley Riolfi',\n",
       " 'Rosemonde Ilyukhov',\n",
       " 'Marten McKall',\n",
       " 'Crista Portinari',\n",
       " 'Torrence Havoc',\n",
       " 'Rici Jocic',\n",
       " \"Tad O'Loughnan\",\n",
       " 'Danyelle Aslet',\n",
       " 'Wallas Sabberton',\n",
       " 'Genevra Berkery',\n",
       " 'Roarke Berthe',\n",
       " 'Ryan Searson',\n",
       " 'Kerri Polson',\n",
       " 'Allister Grigorini',\n",
       " 'Terese Thoumasson',\n",
       " 'Franklyn Ickovitz',\n",
       " 'Byrom Trye',\n",
       " 'Hamlin Shearston',\n",
       " 'Patrizia Drew-Clifton',\n",
       " 'Thane Kindell',\n",
       " 'Basile Speerman',\n",
       " 'Jamison Line',\n",
       " 'Ev Tremathack',\n",
       " 'Care Gladdis',\n",
       " 'Gerrie Nilles',\n",
       " 'Bat Tomczynski',\n",
       " 'Bernelle Sheavills',\n",
       " 'Alvera Marvelley',\n",
       " 'Lothaire Luxford',\n",
       " 'Glynn Wakerley',\n",
       " 'Parrnell Jeff',\n",
       " 'Pat Warstall',\n",
       " 'Willyt Vannuccini',\n",
       " 'Gaelan Petrashkov',\n",
       " 'Stirling Francesc']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's say we want to write to a file. Let's go ahead and do that:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#What we are doing here is creating a variable file_to_output and opening a csv file. Doing this will overrite any file\n",
    "#With the same name as the one you are writing to. We are creating a file called to_save_file.csv.\n",
    "#\n",
    "#We are setting our mode to 'w', or write mode. We also need to specify that newline = '', or an empty string.\n",
    "file_to_output = open('to_save_file.csv', mode = 'w', newline = '')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "#What we are doing here is creating a writer varaible to write to this file, with a delimiter (aka separator) that we have\n",
    "#chosen to be a comma. The delimiter basically just separates the data points. \n",
    "csv_writer = csv.writer(file_to_output, delimiter = ',')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is also important to note that the method csv.writer is a sister to csv.reader, which we have used earlier. We could also have set the delimeter in the reader method. \n",
    "\n",
    "Now, in order to write a single row of items, we need to use the .writerow() method and input a list:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "csv_writer.writerow(['a','b','c'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also write multiple rows with the .writerows() method which takes in a list of lists. Note that the size of those lists should be the same as the number of columns - if we have 3 columns, the next entries should only have 3 values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_writer.writerows([['1','2','3'],['4','5','6']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_to_output.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's say that we have already worked with a fil and want to edit it, but don't want to overwrite - we just want to add new rows. This all works just by editing the mode:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Here, we will be using mode 'a', meaning append. This means that we don't want to rewrite this file, just append to it\n",
    "f = open('to_save_file.csv', mode = 'a', newline = '')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_writer = csv.writer(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have a writer, let's add some rows to it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "csv_writer.writerow(['1','2','3'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "f.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we have seen what we can do with CSV files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with PDF Files in Python\n",
    "\n",
    "PDF stands for Portable Document format, and was created by Adobe in the 1990s. It is important that while PDFs all share the .pdf extension and are viewable in PDF readers, not all PDFs are machine readable through Python. For example, PDF's which are just images that were scanned will have a very low chance of being readable by Python. \n",
    "\n",
    "Things such as images, tables, format adjustments can all make a PDF unreadable by Python. There are a lot of paid PDF programs which have the ability to read and extract from the files, but we will use here the open-source and free to use PyPDF2 library. Let's first install PyPDF2 with pip install PyPDF2. \n",
    "\n",
    "__NOTE:__ There are some other tools that you can use for pdf manipulation in python. Here is a link with some info about them: __[Link Here](http://binpress.com/manipulate-pdf-python)__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What we will be doing is reading text and adding pages to PDF files, not editing the files themselves as that can lead to problems. Let's get started by importing PyPDF2:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import PyPDF2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's open the PDF file normally and attach a reader object to it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#NOTE: we are setting the mode to rb here instead of r because we are reading binary,\n",
    "#not a normal txt file.\n",
    "f = open('Working_Business_Proposal.pdf',mode = 'rb')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's create the pdf reader by using some PyPDF2 tools:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_reader = PyPDF2.PdfFileReader(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<PyPDF2.pdf.PdfFileReader at 0x1e25267d788>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf_reader"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first thing we can do is see how many pages are in the pdf file by using numPages:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf_reader.numPages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's say we are trying to grab the first page of this pdf. We can use the getPage() method to set another variable to this page object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "page_one = pdf_reader.getPage(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'/Type': '/Page',\n",
       " '/Parent': {'/Type': '/Pages',\n",
       "  '/MediaBox': [0, 0, 612, 792],\n",
       "  '/Count': 5,\n",
       "  '/Kids': [IndirectObject(2, 0),\n",
       "   IndirectObject(13, 0),\n",
       "   IndirectObject(17, 0),\n",
       "   IndirectObject(21, 0),\n",
       "   IndirectObject(25, 0)]},\n",
       " '/Resources': {'/ProcSet': ['/PDF', '/Text'],\n",
       "  '/ColorSpace': {'/Cs1': ['/ICCBased', IndirectObject(11, 0)]},\n",
       "  '/Font': {'/TT1': {'/Type': '/Font',\n",
       "    '/Subtype': '/TrueType',\n",
       "    '/BaseFont': '/SLRTDM+Baskerville',\n",
       "    '/FontDescriptor': {'/Type': '/FontDescriptor',\n",
       "     '/FontName': '/SLRTDM+Baskerville',\n",
       "     '/Flags': 32,\n",
       "     '/FontBBox': [-506, -344, 1765, 961],\n",
       "     '/ItalicAngle': 0,\n",
       "     '/Ascent': 898,\n",
       "     '/Descent': -246,\n",
       "     '/CapHeight': 669,\n",
       "     '/StemV': 96,\n",
       "     '/XHeight': 400,\n",
       "     '/StemH': 22,\n",
       "     '/AvgWidth': 579,\n",
       "     '/MaxWidth': 1791,\n",
       "     '/FontFile2': {'/Length1': 5016, '/Filter': '/FlateDecode'}},\n",
       "    '/Encoding': '/MacRomanEncoding',\n",
       "    '/FirstChar': 32,\n",
       "    '/LastChar': 118,\n",
       "    '/Widths': [250,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
       "     0,\n",
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       "     500]}}},\n",
       " '/Contents': {'/Filter': '/FlateDecode'},\n",
       " '/MediaBox': [0, 0, 612, 792]}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "page_one"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, you can see that the page one object is the actual code used on the pdf itself. However, it doesn't show the text. For that, we can set another variable:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "page_one_text = page_one.extractText()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Completely synergize resource taxing relationships via premier niche \\nmarkets. Professionally cultivate one-to-one customer service with robust \\nideas. Dynamically innovate resource-leveling customer service for state of \\nthe art customer service. \\nObjectively innovate empowered manufactured products whereas parallel \\nplatforms. Holisticly predominate extensible testing procedures for reliable \\nsupply chains. Dramatically engage top-line web services vis-a-vis \\ncutting-edge deliverables. Proactively envisioned multimedia based expertise and cross-media \\ngrowth strategies. Seamlessly visualize quality intellectual capital without \\nsuperior collaboration and idea-sharing. Holistically pontiÞcate installed \\nbase portals after maintainable products. \\nPhosßuorescently engage worldwide methodologies with web-enabled \\ntechnology. Interactively coordinate proactive e-commerce via process-\\ncentric \"outside the box\" thinking. Completely pursue scalable customer \\nservice through sustainable potentialities. \\nCollaboratively administrate turnkey channels whereas virtual e-tailers. \\nObjectively seize scalable metrics whereas proactive e-services. \\nSeamlessly empower fully researched growth strategies and interoperable \\ninternal or \"organic\" sources. \\nCredibly innovate granular internal or \"organic\" sources whereas high \\nstandards in web-readiness. Energistically scale future-proof core \\ncompetencies vis-a-vis impactful experiences. Dramatically synthesize \\nintegrated schemas with optimal networks. Interactively procrastinate high-payoff content without backward-\\ncompatible data. Quickly cultivate optimal processes and tactical \\narchitectures. Completely iterate covalent strategic theme areas via \\naccurate e-markets. Globally incubate standards compliant channels before scalable beneÞts. \\nQuickly disseminate superior deliverables whereas web-enabled \\nBUSINESS PROPOSAL\\n!2'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "page_one_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function BufferedReader.close>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f.close"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, you can see the text of the pdf file as a python string objects. As you can probably see, you can easily loopthrouhg all the pages of a pdf and run this procedure to get all the text of the page.\n",
    "\n",
    "\n",
    "Now, let's say we want to write to a pdf file. With the tool we are using, we can't just go to the middle of a page and write text to it. What we can do, however, is to add pages. First, let's re-open the page:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('Working_Business_Proposal.pdf',mode = 'rb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_reader = PyPDF2.PdfFileReader(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_page = pdf_reader.getPage(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's say you want to just go through a bunch of pdf files and just take the first page and write it to a new pdf file of just first pages - maybe you are looking through files and the information you want is only on the first pages so the rest is useless. To do this, we can write these first pages to a new file by creating a writer object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_writer = PyPDF2.PdfFileWriter()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we have a file writer. Let's add pages to it by using the addPage() method, which takes in a variable which is the specialized page file type:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_writer.addPage(first_page)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, what we have to do is to write this pdf_writer variable to an actual file using the tools in Python:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Here, we are setting our mode to wb which stands for 'write binary'\n",
    "pdf_output = open('Some_BrandNew_Doc.pdf',mode = 'wb')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's write to the file using the PyPDF2 tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_writer.write(pdf_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_output.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's say we want to grab all the text in the pdf file that we were using. Let's do that with a simple for loop going through all the pages, then taking the text and putting it into a list, where the item at an index is that number page's text:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('Working_Business_Proposal.pdf',mode = 'rb')\n",
    "\n",
    "pdf_text = []"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's create our pdf reader:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_reader = PyPDF2.PdfFileReader(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's go through all the pages in the document:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "for num in range(pdf_reader.numPages):\n",
    "    \n",
    "    page = pdf_reader.getPage(num)\n",
    "    pdf_text.append(page.extractText())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Business Proposal\\n The Revolution is Coming\\n Leverage agile frameworks to provide a robust synopsis for high level \\noverviews. Iterative approaches to corporate strategy foster collaborative \\nthinking to further the overall value proposition. Organically grow the \\nholistic world view of disruptive innovation via workplace diversity and \\nempowerment. \\nBring to the table win-win survival strategies to ensure proactive \\ndomination. At the end of the day, going forward, a new normal that has \\nevolved from generation X is on the runway heading towards a streamlined \\ncloud solution. User generated content in real-time will have multiple \\ntouchpoints for offshoring. \\nCapitalize on low hanging fruit to identify a ballpark value added activity to \\nbeta test. Override the digital divide with additional clickthroughs from \\nDevOps. Nanotechnology immersion along the information highway will \\nclose the loop on focusing solely on the bottom line. Podcasting operational change management inside of workßows to \\nestablish a framework. Taking seamless key performance indicators ofßine \\nto maximise the long tail. Keeping your eye on the ball while performing a \\ndeep dive on the start-up mentality to derive convergence on cross-\\nplatform integration. \\nCollaboratively administrate empowered markets via plug-and-play \\nnetworks. Dynamically procrastinate B2C users after installed base \\nbeneÞts. Dramatically visualize customer directed convergence without \\nrevolutionary ROI. \\nEfÞciently unleash cross-media information without cross-media value. \\nQuickly maximize timely deliverables for real-time schemas. Dramatically \\nmaintain clicks-and-mortar solutions without functional solutions. \\nBUSINESS PROPOSAL\\n!1',\n",
       " 'Completely synergize resource taxing relationships via premier niche \\nmarkets. Professionally cultivate one-to-one customer service with robust \\nideas. Dynamically innovate resource-leveling customer service for state of \\nthe art customer service. \\nObjectively innovate empowered manufactured products whereas parallel \\nplatforms. Holisticly predominate extensible testing procedures for reliable \\nsupply chains. Dramatically engage top-line web services vis-a-vis \\ncutting-edge deliverables. Proactively envisioned multimedia based expertise and cross-media \\ngrowth strategies. Seamlessly visualize quality intellectual capital without \\nsuperior collaboration and idea-sharing. Holistically pontiÞcate installed \\nbase portals after maintainable products. \\nPhosßuorescently engage worldwide methodologies with web-enabled \\ntechnology. Interactively coordinate proactive e-commerce via process-\\ncentric \"outside the box\" thinking. Completely pursue scalable customer \\nservice through sustainable potentialities. \\nCollaboratively administrate turnkey channels whereas virtual e-tailers. \\nObjectively seize scalable metrics whereas proactive e-services. \\nSeamlessly empower fully researched growth strategies and interoperable \\ninternal or \"organic\" sources. \\nCredibly innovate granular internal or \"organic\" sources whereas high \\nstandards in web-readiness. Energistically scale future-proof core \\ncompetencies vis-a-vis impactful experiences. Dramatically synthesize \\nintegrated schemas with optimal networks. Interactively procrastinate high-payoff content without backward-\\ncompatible data. Quickly cultivate optimal processes and tactical \\narchitectures. Completely iterate covalent strategic theme areas via \\naccurate e-markets. Globally incubate standards compliant channels before scalable beneÞts. \\nQuickly disseminate superior deliverables whereas web-enabled \\nBUSINESS PROPOSAL\\n!2',\n",
       " 'applications. Quickly drive clicks-and-mortar catalysts for change before \\nvertical architectures. \\nCredibly reintermediate backend ideas for cross-platform models. \\nContinually reintermediate integrated processes through technically sound \\nintellectual capital. Holistically foster superior methodologies without \\nmarket-driven best practices. Distinctively exploit optimal alignments for intuitive bandwidth. Quickly \\ncoordinate e-business applications through revolutionary catalysts for \\nchange. Seamlessly underwhelm optimal testing procedures whereas \\nbricks-and-clicks processes. \\nSynergistically evolve 2.0 technologies rather than just in time initiatives. \\nQuickly deploy strategic networks with compelling e-business. Credibly \\npontiÞcate highly efÞcient manufactured products and enabled data. \\nDynamically target high-payoff intellectual capital for customized \\ntechnologies. Objectively integrate emerging core competencies before \\nprocess-centric communities. Dramatically evisculate holistic innovation \\nrather than client-centric data. Progressively maintain extensive infomediaries via extensible niches. \\nDramatically disseminate standardized metrics after resource-leveling \\nprocesses. Objectively pursue diverse catalysts for change for \\ninteroperable meta-services. \\nProactively fabricate one-to-one materials via effective e-business. \\nCompletely synergize scalable e-commerce rather than high standards in \\ne-services. Assertively iterate resource maximizing products after leading-\\nedge intellectual capital. Distinctively re-engineer revolutionary meta-services and premium \\narchitectures. Intrinsically incubate intuitive opportunities and real-time \\npotentialities. Appropriately communicate one-to-one technology after \\nplug-and-play networks. Quickly aggregate B2B users and worldwide potentialities. Progressively \\nplagiarize resource-leveling e-commerce through resource-leveling core \\nBUSINESS PROPOSAL\\n!3',\n",
       " 'competencies. Dramatically mesh low-risk high-yield alignments before \\ntransparent e-tailers. \\nAppropriately empower dynamic leadership skills after business portals. \\nGlobally myocardinate interactive supply chains with distinctive quality \\nvectors. Globally revolutionize global sources through interoperable \\nservices. Enthusiastically mesh long-term high-impact infrastructures vis-a-vis \\nefÞcient customer service. Professionally fashion wireless leadership rather \\nthan prospective experiences. Energistically myocardinate clicks-and-\\nmortar testing procedures whereas next-generation manufactured \\nproducts. \\nDynamically reinvent market-driven opportunities and ubiquitous \\ninterfaces. Energistically fabricate an expanded array of niche markets \\nthrough robust products. Appropriately implement visionary e-services vis-\\na-vis strategic web-readiness. \\nCompellingly embrace empowered e-business after user friendly \\nintellectual capital. Interactively actualize front-end processes with \\neffective convergence. Synergistically deliver performance based \\nmethods of empowerment whereas distributed expertise. \\nEfÞciently enable enabled sources and cost effective products. \\nCompletely synthesize principle-centered information after ethical \\ncommunities. EfÞciently innovate open-source infrastructures via \\ninexpensive materials. Objectively integrate enterprise-wide strategic theme areas with \\nfunctionalized infrastructures. Interactively productize premium \\ntechnologies whereas interdependent quality vectors. Rapaciously utilize \\nenterprise experiences via 24/7 markets. Uniquely matrix economically sound value through cooperative \\ntechnology. Competently parallel task fully researched data and enterprise \\nprocess improvements. Collaboratively expedite quality manufactured \\nproducts via client-focused results. \\nBUSINESS PROPOSAL\\n!4',\n",
       " 'Quickly communicate enabled technology and turnkey leadership skills. \\nUniquely enable accurate supply chains rather than frictionless \\ntechnology. Globally network focused materials vis-a-vis cost effective \\nmanufactured products. \\nBUSINESS PROPOSAL\\n!5']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf_text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, we have sucessfully created a list where each item is the text from a page."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Python PDFs and Spreadsheets Excersize\n",
    "\n",
    "Our task is to go through the CSV file in the folder called Exercise_Files to find the hidden url. At that url, we need to download a pdf file, and then go through that pdf file to try and find the hidden phone number.\n",
    "\n",
    "First, we have to go through the CSV file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = open('C:\\\\Users\\\\aadia\\\\OneDrive\\\\Python\\\\Udemy course python\\\\PDFs and Spreadsheets with Python\\\\Exercise_Files\\\\find_the_link.csv',encoding = 'utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_data = csv.reader(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_lines = list(csv_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are given the hint that the url is along the diagonal from top left to bottom right - this will let us run a loop through the data to find the url:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = ''\n",
    "counter = 0\n",
    "\n",
    "for line in data_lines:\n",
    "    url += str(line[counter])\n",
    "    counter += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://drive.google.com/open?id=1G6SEgg018UB4_4xsAJJ5TdzrhmXipr4Q'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we have our URL. At the URL is the document. We aren't going to download the document because it is already here, but we could have. In the document, we will use PDF scanning skills and Regular Expressions to find the phone number. What we will do is go through all the text in all the pages in the PDF and then, in each page, look for 3 digits, a non-digit, 3 digts, a non-digit, and another 4 digits:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import PyPDF2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('C:\\\\Users\\\\aadia\\\\OneDrive\\\\Python\\\\Udemy course python\\\\PDFs and Spreadsheets with Python\\\\Exercise_Files\\\\Find_The_Phone_Number.pdf',mode = 'rb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf_reader = PyPDF2.PdfFileReader(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf_reader.numPages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "pages = pdf_reader.numPages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "505.503.4455\n"
     ]
    }
   ],
   "source": [
    "for currPageNum in range(0, pages):\n",
    "    \n",
    "    page = pdf_reader.getPage(currPageNum)\n",
    "    \n",
    "    page_text = page.extractText()\n",
    "    \n",
    "    number = re.search(r'\\d\\d\\d\\D+\\d\\d\\d\\D+\\d\\d\\d\\d',page_text)\n",
    "    \n",
    "    if number != None:\n",
    "        print(number.group())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is the phone number!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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