13 Interesting Python Scripts

Every day we face many programming challenges that require advanced coding. You can’t solve these problems with simple basic Python syntax. In this article, I will share 13 advanced Python scripts that can become easy-to-use tools in your project. If you don’t currently use these scripts, you can add them to your favorites for retention.

# Make web robots

This script will help you automate websites using Python. You can build a web robot that can control any website. Check out the code below. This script is very convenient in web crawling and web automation.

# pip install selenium
import time
from selenium import webdriver
from selenium.webdriver.common.keys 
import Keysbot = webdriver.Chrome("chromedriver.exe")
bot.get('http://www.google.com')
search = bot.find_element_by_name('q')
search.send_keys("@codedev101")
search.send_keys(Keys.RETURN)
time.sleep(5)
bot.quit()

# Python Image Enhancement

Enhance your photos with the Python Pillow library to make them look better. In the code below, I’ve implemented four ways to enhance any photo.

# pip install pillow
from PIL import Image,ImageFilter
from PIL import ImageEnhance
im = Image.open('img.jpg')
# Choose your filter
# add Hastag at start if you don't want to any filter below
en = ImageEnhance.Color(im)
en = ImageEnhance.Contrast(im)
en = ImageEnhance.Brightness(im)
en = ImageEnhance.Sharpness(im)# result
en.enhance(1.5).show("enhanced")

# Get song lyrics

This advanced script will show you how to get lyrics from any song. First, you must get a free API key from the Lyricsgenius website, and then, you must follow the following code. This advanced script will show you how to get lyrics from any song. First, you must get a free API key from the Lyricsgenius website, and then, you must follow the following code.

# pip install lyricsgenius
import lyricsgenius
api_key = "xxxxxxxxxxxxxxxxxxxxx"
genius = lyricsgenius.Genius(api_key)
artist = genius.search_artist("Pop Smoke", 
max_songs=5,sort="title")
song = artist.song("100k On a Coupe")
print(song.lyrics)

# Get Exif data for photos

Use the Python Pillow module to get the Exif data of any photo. Check out the code mentioned below. I provide two methods to extract the Exif data of photos.

# Get Exif of Photo
# Method 1
# pip install pillow
import PIL.Image
import PIL.ExifTags
img = PIL.Image.open("Img.jpg")
exif_data = 
{
    PIL.ExifTags.TAGS[i]: j
    for i, j in img._getexif().items()
    if i in PIL.ExifTags.TAGS
}
print(exif_data)
# Method 2
# pip install ExifRead
import exifread
filename = open(path_name, 'rb')
tags = exifread.process_file(filename)
print(tags)

# Search on google

You can extract Retargeting URL from Google search engine , install the following mention module and follow the code.

# pip install google
from googlesearch import search
query = "Medium.com"
for url in search(query):
    print(url)

# Conversion: hexadecimal to RGB

The script will simply convert Hex to RGB . Check out the sample code below.

# Conversion: Hex to RGB
def Hex_to_Rgb(hex):
    h = hex.lstrip('#')
    return tuple(int(h[i:i+2], 16) for i in (0, 2, 4))
print(Hex_to_Rgb('#c96d9d'))  # (201, 109, 157)
print(Hex_to_Rgb('#fa0515')) # (250, 5, 21)

# Convert photos to Cartonize

This simple advanced script will convert your photos to Cartonize format. Check out the sample code below and give it a try.

# pip install opencv-python
import cv2
img = cv2.imread('img.jpg')
grayimg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
grayimg  = cv2.medianBlur(grayimg, 5)
edges = cv2.Laplacian(grayimg , cv2.CV_8U, ksize=5)
r,mask =cv2.threshold(edges,100,255,cv2.THRESH_BINARY_INV)
img2 = cv2.bitwise_and(img, img, mask=mask)
img2 = cv2.medianBlur(img2, 5)
cv2.imwrite("cartooned.jpg", mask)

# Speed Testing with Python

This advanced script helps you test your internet speed using Python. Just install the speed test module and run the following code.

# pip install pyspeedtest
# pip install speedtest
# pip install speedtest-cli
#method 1
import speedtest
speedTest = speedtest.Speedtest() 
print(speedTest.get_best_server())
#Check download speed
print(speedTest.download())
#Check upload speed
print(speedTest.upload())
# Method 2
import pyspeedtest
st = pyspeedtest.SpeedTest()
st.ping()
st.download()
st.upload()

# Site Status

You can use Python to check if the website is running normally. Check the following code, it displays 200, which means the website is launched. If it displays 404, it means the website is closed.

# pip install requests
#method 1
import urllib.request
from urllib.request import Request, urlopenreq = Request('https://medium.com/@pythonians', headers={'User-Agent': 'Mozilla/5.0'})
webpage = urlopen(req).getcode()
print(webpage)  # 200
# method 2
import requests
r = requests.get("https://medium.com/@pythonians")
print(r.status_code) # 200

# Extract OCR text from images

OCR is a method of recognizing text from numbers and scanned docs. Many developers use it to read handwritten data, and the following Python code can convert scanned images to OCR text format.

Note: You must download tesseract.exe from Github .

# pip install pytesseract
import pytesseract
from PIL import Image
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
t=Image.open("img.png")
text = pytesseract.image_to_string(t, config='')
print(text)

# Get Windows version

This simple script will help you get the full version of the window you are currently using.

# Window Versionimport wmi
data = wmi.WMI()
for os_name in data.Win32_OperatingSystem():
  print(os_name.Caption)
# Microsoft Windows 11 Home

# Convert PDF to Image

Use the following code to convert all Pdf pages into images.

# PDF to Images
import fitz
pdf = 'sample_pdf.pdf'
doc = fitz.open(pdf)
for page in doc:
    pix = page.getPixmap(alpha=False)
    pix.writePNG('page-%i.png' % page.number)

# Empty Recycling Bin

This simple script allows you to empty your Recycle Bin with Python. Check out the code below to learn how.

# pip install winshell
import winshell
try:
    winshell.recycle_bin().empty(confirm=False, /show_progress=False, sound=True)
    print("Recycle bin is emptied Now")
except:
    print("Recycle bin already empty")