pip install deep_translator

from deep_translator import GoogleTranslator

txt= "I am a programmer"

translated = GoogleTranslator(source='auto'
target='fa').translate(txt)

from PIL import Image, ImageFilter

def blur_image(image_path, output_path, radius):
  image = Image.open(image_path)
  blurred_image = image.filter(ImageFilter.GaussianBlur(radius))
  blurred_image.save(output_path)

blur_image('cat.jpg', 'cat_out.jpg', 3)  
Image.open('cat_out.jpg')

def format_bytes(bytes, decimals=2):
  if bytes is None: return "Incalculable"
  if bytes < 1: return "0 B"

  i = 0
  while bytes >= 1024:
    bytes /= 1024
    i += 1

  units = ["B", "KB", "MB", "GB", "TB", "PB"]
  dm = decimals if bytes % 1 != 0 else 0
  return f"{bytes:.{dm}f} {units[i]}"

def factorial(n):
    if n == 1:
        return 1
    else:
        return n * factorial(n - 1)

print(factorial(5))  # خروجی: 120

pip install pandas

import sqlite3

# اتصال به دیتابیس
conn = sqlite3.connect('example.db')
cursor = conn.cursor()

# ایجاد جدول
cursor.execute('''CREATE TABLE IF NOT EXISTS users
                  (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)''')

# وارد کردن داده‌ها
cursor.execute("INSERT INTO users (name, age) VALUES ('Ali', 25)")
cursor.execute("INSERT INTO users (name, age) VALUES ('Sara', 30)")
cursor.execute("INSERT INTO users (name, age) VALUES ('Reza', 22)")

# ذخیره تغییرات
conn.commit()

# خواندن داده‌ها
cursor.execute("SELECT * FROM users")
rows = cursor.fetchall()

for row in rows:
    print(row)

import pandas as pd

# تبدیل داده‌ها به DataFrame
df = pd.DataFrame(rows, columns=['id', 'name', 'age'])

print(df)

# محاسبه میانگین سن
average_age = df['age'].mean()
print(f"Average age: {average_age}")