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Diff for: ‎Assignment-20.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [],
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"source": [
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"test = \"This is a test of the emergency text system\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"file = open(\"test.txt\",\"w+\") \n",
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"file.write(test)\n",
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"file.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"This is a test of the emergency text system\n"
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]
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}
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],
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"source": [
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"file1 = open(\"test.txt\",\"r+\") \n",
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"print(file1.read())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import sqlite3 as sq\n",
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"conn = sq.connect('books.db')\n",
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"c = conn.cursor()\n",
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"c.execute(\"\"\"CREATE TABLE books(\n",
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" title text,\n",
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" author text,\n",
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" year integer\n",
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")\"\"\")\n",
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"conn.commit()\n",
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"conn.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"['title', 'author', 'year']\n",
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"['The Weirdstone of Brisingamen', 'Alan Garner', '1960']\n",
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"['Perdido Street Station', 'China Miéville', '2000']\n",
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"['Thud!', 'Terry Pratchett', '2005']\n",
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"['The Spellman Files', 'Lisa Lutz', '2007']\n",
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"['Small Gods', 'Terry Pratchett', '1992']\n"
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]
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}
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],
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"source": [
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"import csv\n",
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"with open('books.csv') as csv_file:\n",
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" csv_reader = csv.reader(csv_file)\n",
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" for line in csv_reader:\n",
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" print(line)\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"_csv.reader"
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]
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},
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"type(csv_reader)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>title</th>\n",
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" <th>author</th>\n",
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" <th>year</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>The Weirdstone of Brisingamen</td>\n",
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" <td>Alan Garner</td>\n",
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" <td>1960</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Perdido Street Station</td>\n",
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" <td>China Miéville</td>\n",
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" <td>2000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Thud!</td>\n",
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" <td>Terry Pratchett</td>\n",
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" <td>2005</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>The Spellman Files</td>\n",
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" <td>Lisa Lutz</td>\n",
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" <td>2007</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>Small Gods</td>\n",
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" <td>Terry Pratchett</td>\n",
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" <td>1992</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" title author year\n",
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"0 The Weirdstone of Brisingamen Alan Garner 1960\n",
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"1 Perdido Street Station China Miéville 2000\n",
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"2 Thud! Terry Pratchett 2005\n",
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"3 The Spellman Files Lisa Lutz 2007\n",
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"4 Small Gods Terry Pratchett 1992"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import pandas as pd\n",
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"# load the data into a Pandas DataFrame\n",
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"users = pd.read_csv('books.csv')\n",
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"users"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[('The Weirdstone of Brisingamen', 'Alan Garner', 1960), ('Perdido Street Station', 'China Miéville', 2000), ('Thud!', 'Terry Pratchett', 2005), ('The Spellman Files', 'Lisa Lutz', 2007), ('Small Gods', 'Terry Pratchett', 1992), ('The Weirdstone of Brisingamen', 'Alan Garner', 1960), ('Perdido Street Station', 'China Miéville', 2000), ('Thud!', 'Terry Pratchett', 2005), ('The Spellman Files', 'Lisa Lutz', 2007), ('Small Gods', 'Terry Pratchett', 1992)]\n"
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]
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}
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],
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"source": [
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"import sqlite3 as sq\n",
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"conn = sq.connect('awesomebooks.db')\n",
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"c = conn.cursor()\n",
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"bookdetails = pd.read_csv('books.csv')\n",
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"# write the data to a sqlite table\n",
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"bookdetails.to_sql('awesomebooks', conn, if_exists='append', index = False)\n",
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"conn.commit()\n",
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"lm =c.execute('''SELECT * FROM awesomebooks''').fetchall()\n",
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"print(lm)\n",
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"conn.close()\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[('Perdido Street Station', 'China Miéville', 2000), ('Perdido Street Station', 'China Miéville', 2000), ('Small Gods', 'Terry Pratchett', 1992), ('Small Gods', 'Terry Pratchett', 1992), ('The Spellman Files', 'Lisa Lutz', 2007), ('The Spellman Files', 'Lisa Lutz', 2007), ('The Weirdstone of Brisingamen', 'Alan Garner', 1960), ('The Weirdstone of Brisingamen', 'Alan Garner', 1960), ('Thud!', 'Terry Pratchett', 2005), ('Thud!', 'Terry Pratchett', 2005)]\n"
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]
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}
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],
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"source": [
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"import sqlite3 as sq\n",
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"conn = sq.connect('awesomebooks.db')\n",
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"c = conn.cursor()\n",
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"bookdetails = pd.read_csv('books.csv')\n",
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"# write the data to a sqlite table\n",
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"lp =c.execute('''SELECT * FROM awesomebooks ORDER BY title''').fetchall()\n",
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"print(lp)\n",
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"conn.close()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from flask import flask\n",
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"from flask_sqlalchemy import SQLAlchemy\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

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