Top 10 python script

Top 10 Python Useful Script for daily task

In this article, we will explore 10 Python scripts that can make your task automatic.
1. Automate Email Sending
  • Use Python to send emails with attachments.
  • Libraries: smtplib, email
import smtplib
from email.mime.text import MIMEText

def send_email(subject, body, to_email):
    smtp_server = "smtp.gmail.com"
    smtp_port = 587
    sender_email = "your_email@gmail.com"
    sender_password = "your_password"

    msg = MIMEText(body)
    msg['Subject'] = subject
    msg['From'] = sender_email
    msg['To'] = to_email

    with smtplib.SMTP(smtp_server, smtp_port) as server:
        server.starttls()
        server.login(sender_email, sender_password)
        server.sendmail(sender_email, to_email, msg.as_string())
2. Web Scraping for Data Extraction
  • Automate data extraction from websites.
  • Libraries: requests, BeautifulSoup
import requests
from bs4 import BeautifulSoup

def scrape_weather():
    url = "https://weather.com"
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    print(soup.title.string)
3. File Rename
  • This script is handy when you need to rename multiple files in a folder based on specific criteria. For example, you can add a prefix, suffix, or replace text in filenames.
  • Libraries: OS
import os

folder_path = '/path/to/folder'
for filename in os.listdir(folder_path):
    if filename.startswith('prefix_'):
        new_filename = filename.replace('prefix_', 'new_prefix_')
        os.rename(os.path.join(folder_path, filename), os.path.join(folder_path, new_filename))
4. Automate Currency Conversion
  • Convert currencies using APIs.
  • Libraries: ExchangeRate-API
import requests

# Your API key from ExchangeRate-API
api_key = 'YOUR_API_KEY'

# Base currency and target currency
base_currency = 'USD'  # Change this to your base currency (e.g., 'USD', 'EUR')
target_currency = 'EUR'  # Change this to the currency you want to convert to (e.g., 'EUR', 'GBP')

# The amount you want to convert
amount_to_convert = 100  # Change this to the amount you want to convert

# URL to get the currency rates
url = f"https://v6.exchangerate-api.com/v6/{api_key}/latest/{base_currency}"

# Make a GET request to the API
response = requests.get(url)

# Check if the request was successful
if response.status_code == 200:
    data = response.json()
    # Check if the target currency is available in the response
    if target_currency in data['conversion_rates']:
        # Get the conversion rate for the target currency
        conversion_rate = data['conversion_rates'][target_currency]
        # Convert the amount
        converted_amount = amount_to_convert * conversion_rate
        print(f"{amount_to_convert} {base_currency} = {converted_amount:.2f} {target_currency}")
    else:
        print(f"Error: {target_currency} not found in conversion rates.")
else:
    print("Error: Unable to fetch data from the API.")
How It Works:
  1. API Key: You need to replace YOUR_API_KEY with your actual API key from ExchangeRate-API.
  2. Base Currency: Set the base currency you want to convert from (e.g., USD).
  3. Target Currency: Set the currency you want to convert to (e.g., EUR).
  4. Amount: Set the amount you want to convert.
5. Data Backup Script
  • Automate the backup of files and directories to ensure data safety:
  • Libraries: shutil
import shutil

def create_backup(source_dir, backup_file):
    shutil.make_archive(backup_file, 'zip', source_dir)
6. Data Analysis with Pandas
  • Pandas is a powerful library for data analysis and manipulation.  data from various sources like CSV files or databases.
import pandas as pd

# Read data from a CSV file
data = pd.read_csv('data.csv')

# Perform basic analysis
mean = data['column_name'].mean()
print(f"Mean: {mean}")
7. Automate Text Translation
  • Translate text using APIs.
  • Libraries: googletrans
from googletrans import Translator

def translate_text(text, dest_lang):
    translator = Translator()
    return translator.translate(text, dest=dest_lang).text
8. Automate PDF Manipulation
  • Merge, split, or extract text from PDFs.
  • Libraries: PyPDF2
from PyPDF2 import PdfReader, PdfMerger

def merge_pdfs(pdf_list, output):
    merger = PdfMerger()
    for pdf in pdf_list:
        merger.append(pdf)
    merger.write(output)
9. Automate Image Processing
  • Resize, rotate, or add watermarks.
  • Libraries: Pillow
from PIL import Image

def resize_image(image_path, output_path, size):
    with Image.open(image_path) as img:
        img.resize(size).save(output_path)
10. Automate Database Backups
  • Backup databases like MySQL.
  • Libraries: subprocess
import subprocess

def backup_mysql(user, password, db_name, output):
    cmd = f"mysqldump -u {user} -p{password} {db_name} > {output}"
    subprocess.run(cmd, shell=True)
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