from socket import *
import time
startTime = time.time()

if __name__ == '__main__':
   target = input('Enter the host to be scanned: ')
   t_IP = gethostbyname(target)
   print ('Starting scan on host: ', t_IP)
   
   for i in range(1, 10000):
      s = socket(AF_INET, SOCK_STREAM)
      conn = s.connect_ex((t_IP, i))
      if(conn == 0) :
         print ('Port %d: OPEN' % (i,))
      s.close()
print('Time taken:', time.time() - startTime)

from PIL import Image

# https://t.me/LearnPython3

in_img = 'input.png'
out_img = 'compressed.png' 

# Open the image
with Image.open(in_img) as img:
    # Save the compressed image
    img.save(out_img, 'PNG', quality=80)

print(f"Image compressed successfully!")

from PIL import Image
from collections import Counter

# https://t.me/LearnPython3

# Open the image
image = Image.open('input.png')

# Convert the image to a list of RGB tuples
pixels = list(image.getdata())

# Use Counter to count the occurrences of each color
color_counts = Counter(pixels)

# Get the 6 most common colors
top_colors = color_counts.most_common(6)

# Print the extracted colors and their counts
for i, (color, count) in enumerate(top_colors):
    color_block = "\033[48;2;{};{};{}m    \033[0m".format(color[0], color[1], color[2])
    print(f"Color {i + 1}: {color_block} RGB: {color} - Count: {count}")

pip install PyPDF2

from PyPDF2 import PdfFileMerger

# https://t.me/LearnPython3

# By appending in the end
def by_appending():
    merger = PdfFileMerger()
    # Either provide file stream
    f1 = open("samplePdf1.pdf", "rb")
    merger.append(f1)
    # Or direct file path
    merger.append("samplePdf2.pdf")

    merger.write("mergedPdf.pdf")

# By inserting at after an specified page no.
def by_inserting():
    merger = PdfFileMerger()
    merger.append("samplePdf1.pdf")
    merger.merge(0, "samplePdf2.pdf")
    merger.write("mergedPdf1.pdf")


if __name__ == "__main__":
    by_appending()
    by_inserting()

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