TheSkyFox3006

from bs4 import BeautifulSoup
import requests
import re

search_term = input("What product do you want to search for? ")

url = f"https://www.newegg.ca/p/pl?d={search_term}&N=4131"
page = requests.get(url).text
doc = BeautifulSoup(page, "html.parser")

TheSkyFox3006

from dbmodule import connect

#create connection with object
connection = connect('databasename','username','password')

#create a cursor object
cursor = connection.cursor()

#Run queries
cursor.execute('select * from mytable')

TheSkyFox3006

import random, string

def password(length, num=false,strength='weak'):
    """length of password, num if you want a number and strength(weak, strong,very)"""
    lower = string.ascii_lowercase
    upper = string.ascii_uppercase
    letter = lower + upper
    dig = string.digits
    punct = string.punctuation
    pwd = ' '

TheSkyFox3006

import pyttsx3
import PyPDF2
pdf_book = open('book.pdf','rb')
pdf_book_reader = PyPDF2.PdfFileReader(pdf_book)
pages_no = pdf_book_reader.numPages
print(pages_no)
speaker = pyttsx3.init()
for number in range(8,pages_no):
  page_start = pdf_book_reader.getPage(8)
  text = page_start.extractText()

TheSkyFox3006

#Install all the below mention librarie before using pandas-profiling
import pandas as pd
import numpy as np
from pandas_profiling import ProfileReport

#EDA using pandas-profiling
profile = ProfileReport(pd.read_csv('titanic.csv'),title='Pandas Profiling Report',html={'style': {'full_width': True}}, sort="None"))

#to view result in jupyter notebook or google colab
profile.to_widgets()