9 Practical Python Automation Scenarios with Sample Scripts

1. File Management Automation

This section shows how to sort files by extension, delete empty folders, and rename multiple files using Python.

# Python script to sort files in a directory by their extension
import os
from shutil import move

def sort_files(directory_path):
    for filename in os.listdir(directory_path):
        if os.path.isfile(os.path.join(directory_path, filename)):
            file_extension = filename.split('.')[-1]
            destination_directory = os.path.join(directory_path, file_extension)
            if not os.path.exists(destination_directory):
                os.makedirs(destination_directory)
            move(os.path.join(directory_path, filename), os.path.join(destination_directory, filename))

The script organizes files into sub‑folders named after their extensions, which is useful for cleaning download folders.

# Python script to remove empty folders in a directory
import os

def remove_empty_folders(directory_path):
    for root, dirs, files in os.walk(directory_path, topdown=False):
        for folder in dirs:
            folder_path = os.path.join(root, folder)
            if not os.listdir(folder_path):
                os.rmdir(folder_path)

This script walks a directory tree and deletes any folder that contains no files.

# Python script to rename multiple files in a directory
import os

def rename_files(directory_path, old_name, new_name):
    for filename in os.listdir(directory_path):
        if old_name in filename:
            new_filename = filename.replace(old_name, new_name)
            os.rename(os.path.join(directory_path, filename), os.path.join(directory_path, new_filename))

It replaces a specified substring in each filename with a new string.

2. Web Scraping with Python

Examples demonstrate extracting data from a website and downloading images in bulk.

# Python script for web scraping to extract data from a website
import requests
from bs4 import BeautifulSoup

def scrape_data(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    # Your code here to extract relevant data from the website

Using requests and BeautifulSoup , the script fetches HTML and parses it for custom data extraction.

# Python script to download images in bulk from a website
import requests

def download_images(url, save_directory):
    response = requests.get(url)
    if response.status_code == 200:
        images = response.json()  # Assuming the API returns a JSON array of image URLs
        for index, image_url in enumerate(images):
            image_response = requests.get(image_url)
            if image_response.status_code == 200:
                with open(f"{save_directory}/image_{index}.jpg", "wb") as f:
                    f.write(image_response.content)

This script assumes an API that returns image URLs, then saves each image locally.

# Python script to automate form submissions on a website
import requests

def submit_form(url, form_data):
    response = requests.post(url, data=form_data)
    if response.status_code == 200:
        # Your code here to handle the response after form submission
        pass

It posts form data to a given URL and checks for a successful response.

3. Text Processing

Utilities for counting words, find‑and‑replace, and generating random text.

# Python script to count words in a text file
def count_words(file_path):
    with open(file_path, 'r') as f:
        text = f.read()
        word_count = len(text.split())
    return word_count

# Python script to find and replace text in a file
def find_replace(file_path, search_text, replace_text):
    with open(file_path, 'r') as f:
        text = f.read()
        modified_text = text.replace(search_text, replace_text)
    with open(file_path, 'w') as f:
        f.write(modified_text)

# Python script to generate random text
import random, string

def generate_random_text(length):
    letters = string.ascii_letters + string.digits + string.punctuation
    random_text = ''.join(random.choice(letters) for i in range(length))
    return random_text

4. Email Automation

Scripts for sending personalized emails, attaching files, and scheduling reminder emails.

# Python script to send personalized emails to a list of recipients
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart

def send_personalized_email(sender_email, sender_password, recipients, subject, body):
    server = smtplib.SMTP('smtp.gmail.com', 587)
    server.starttls()
    server.login(sender_email, sender_password)
    for recipient_email in recipients:
        message = MIMEMultipart()
        message['From'] = sender_email
        message['To'] = recipient_email
        message['Subject'] = subject
        message.attach(MIMEText(body, 'plain'))
        server.sendmail(sender_email, recipient_email, message.as_string())
    server.quit()

# Python script to send emails with file attachments
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email import encoders

def send_email_with_attachment(sender_email, sender_password, recipient_email, subject, body, file_path):
    server = smtplib.SMTP('smtp.gmail.com', 587)
    server.starttls()
    server.login(sender_email, sender_password)
    message = MIMEMultipart()
    message['From'] = sender_email
    message['To'] = recipient_email
    message['Subject'] = subject
    message.attach(MIMEText(body, 'plain'))
    with open(file_path, "rb") as attachment:
        part = MIMEBase('application', 'octet-stream')
        part.set_payload(attachment.read())
        encoders.encode_base64(part)
        part.add_header('Content-Disposition', f'attachment; filename={file_path}')
        message.attach(part)
    server.sendmail(sender_email, recipient_email, message.as_string())
    server.quit()

# Python script to send automatic email reminders
import smtplib
from email.mime.text import MIMEText
from datetime import datetime

def send_reminder_email(sender_email, sender_password, recipient_email, subject, body, reminder_date):
    server = smtplib.SMTP('smtp.gmail.com', 587)
    server.starttls()
    server.login(sender_email, sender_password)
    now = datetime.now()
    reminder_date = datetime.strptime(reminder_date, '%Y-%m-%d')
    if now.date() == reminder_date.date():
        message = MIMEText(body, 'plain')
        message['From'] = sender_email
        message['To'] = recipient_email
        message['Subject'] = subject
        server.sendmail(sender_email, recipient_email, message.as_string())
    server.quit()

5. Excel Automation

Reading/writing Excel files, data analysis, and merging multiple sheets.

# Python script to read and write data to an Excel spreadsheet
import pandas as pd

def read_excel(file_path):
    df = pd.read_excel(file_path)
    return df

def write_to_excel(data, file_path):
    df = pd.DataFrame(data)
    df.to_excel(file_path, index=False)

# Python script for data analysis and visualization with pandas and matplotlib
import pandas as pd
import matplotlib.pyplot as plt

def analyze_and_visualize_data(data):
    # Your code here for data analysis and visualization
    pass

# Python script to merge multiple Excel sheets into a single sheet
import pandas as pd

def merge_sheets(file_path, output_file_path):
    xls = pd.ExcelFile(file_path)
    df = pd.DataFrame()
    for sheet_name in xls.sheet_names:
        sheet_df = pd.read_excel(xls, sheet_name)
        df = df.append(sheet_df)
    df.to_excel(output_file_path, index=False)

6. Database Interaction

Connecting to SQLite, executing queries, and backing up/restoring databases.

# Python script to connect to a database and execute queries
import sqlite3

def connect_to_database(database_path):
    connection = sqlite3.connect(database_path)
    return connection

def execute_query(connection, query):
    cursor = connection.cursor()
    cursor.execute(query)
    result = cursor.fetchall()
    return result

# Python script for database backup and restore
import shutil

def backup_database(database_path, backup_directory):
    shutil.copy(database_path, backup_directory)

def restore_database(backup_path, database_directory):
    shutil.copy(backup_path, database_directory)

7. Social Media Automation

Posting to Twitter and Facebook, sharing random content, and scraping social media data.

# Python script to automate posting on Twitter and Facebook
from twython import Twython
import facebook

def post_to_twitter(api_key, api_secret, access_token, access_token_secret, message):
    twitter = Twython(api_key, api_secret, access_token, access_token_secret)
    twitter.update_status(status=message)

def post_to_facebook(api_key, api_secret, access_token, message):
    graph = facebook.GraphAPI(access_token)
    graph.put_object(parent_object='me', connection_name='feed', message=message)

# Python script for scraping data from social media platforms
import requests

def scrape_social_media_data(url):
    response = requests.get(url)
    # Your code here to extract relevant data from the response

8. System Task Automation

Managing processes, scheduling tasks with cron syntax, and monitoring disk space.

# Python script to manage system processes
import psutil

def get_running_processes():
    return [p.info for p in psutil.process_iter(['pid', 'name', 'username'])]

def kill_process_by_name(process_name):
    for p in psutil.process_iter(['pid', 'name', 'username']):
        if p.info['name'] == process_name:
            p.kill()

# Python script to schedule tasks using cron syntax
from crontab import CronTab

def schedule_task(command, schedule):
    cron = CronTab(user=True)
    job = cron.new(command=command)
    job.setall(schedule)
    cron.write()

# Python script to monitor disk space and send an alert if low
import psutil

def check_disk_space(minimum_threshold_gb):
    disk = psutil.disk_usage('/')
    free_space_gb = disk.free / (1024 ** 3)
    if free_space_gb < minimum_threshold_gb:
        # Your code here to send an alert (email, notification, etc.)
        pass

9. Image Automation

Resizing, cropping, adding watermarks, and creating thumbnails.

# Python script to resize and crop images
from PIL import Image

def resize_image(input_path, output_path, width, height):
    image = Image.open(input_path)
    resized_image = image.resize((width, height), Image.ANTIALIAS)
    resized_image.save(output_path)

def crop_image(input_path, output_path, left, top, right, bottom):
    image = Image.open(input_path)
    cropped_image = image.crop((left, top, right, bottom))
    cropped_image.save(output_path)

# Python script to add watermarks to images
from PIL import Image, ImageDraw, ImageFont

def add_watermark(input_path, output_path, watermark_text):
    image = Image.open(input_path)
    draw = ImageDraw.Draw(image)
    font = ImageFont.truetype('arial.ttf', 36)
    draw.text((10, 10), watermark_text, fill=(255, 255, 255, 128), font=font)
    image.save(output_path)

# Python script to create image thumbnails
from PIL import Image

def create_thumbnail(input_path, output_path, size=(128, 128)):
    image = Image.open(input_path)
    image.thumbnail(size)
    image.save(output_path)

The article concludes by summarizing that these nine Python scripts can greatly improve work automation across diverse tasks.