thetongs

import PyPDF2
import os

def digital_nondigital_checker(files):
    pdf_reader = PyPDF2.PdfFileReader(path + str(files), 'rb')
    total_pages = pdf_reader.getNumPages()
    print("Number of pages in pdf : {}".format(total_pages))
    curr_page = 0
    page_type_flag = False
    while total_pages:

thetongs

# -----------------------------------------------------------------------------
# Import libraries
import nltk
from nltk.tokenize import wordpunct_tokenize
from nltk.corpus import stopwords
nltk.download('stopwords')
import PyPDF2
import os
path = "Input/"
import email

thetongs

## Command
# use c to run process one by one
# use k to run one command only

import os

## Show all wifi connected before
#
os.system('cmd /c "netsh wlan show profile"')

thetongs

'''
Word Cloud:
    - It is data visualization technique used for representing text data in 
      which the size of each word indicates its frequency or importance.
    - Significant textual data points can be highlighted using a Word Cloud.

Installation:
    - pip install wordcloud
'''

thetongs

## Take screenshot
# pip install PyAutoGUI

import pyautogui
import sys
import time

print("Minimize all other screen in 4 sec.")
n = len(sys.argv)

thetongs

import pyttsx3

engine = pyttsx3.init()
engine.say("Chandu ki chachi ne chadu ke papako chatani chatayi.")
engine.runAndWait()

thetongs

import socket

hostname = socket.gethostname()
ip = socket.gethostbyname(hostname)

print("Hostname : {}".format(hostname))
print("IP Address : {}".format(ip))

thetongs

## Balance parenthesis check
#

def checker(s):
    # Check length
    if(len(s) % 2 != 0):
        return False
    
    # set of opening brackets
    opening = set('([{')

thetongs

## JSON 
#

import json

# Open json
with open("Service2.json", "r") as file:
    data = json.load(file)

data1 = data

thetongs

import turtle

turtle.bgcolor('black')
turtle.pensize(2)

def curve():
    for i in range(200):
        turtle.right(1)
        turtle.forward(1)