17 Mindblowing Python Automation Scripts I Use Everyday

Python is an incredibly versatile language that excels at automation. Whether it's automating mundane tasks, managing files, or fetching data, Python scripts can significantly boost productivity. Here, I share 17 Python automation scripts that I use daily.

Email Automation
Web Scraping
File Management
Data Analysis
Social Media Automation
Reminder Notifications
Data Backup
Report Generation
Image Processing
Web Testing
API Integration
Database Management
Finance Management
Task Automation
Weather Forecasting
Personal Assistant
Network Monitoring

1. Email Automation

Sending and receiving emails can be automated using Python. With libraries like smtplib and imaplib, you can send emails, read emails, and even sort your inbox.

Script Example:

python
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText

def send_email(subject, body, to_email):
    from_email = "your_email@example.com"
    from_password = "your_password"

    msg = MIMEMultipart()
    msg['From'] = from_email
    msg['To'] = to_email
    msg['Subject'] = subject

    msg.attach(MIMEText(body, 'plain'))

    server = smtplib.SMTP('smtp.example.com', 587)
    server.starttls()
    server.login(from_email, from_password)
    server.send_message(msg)
    server.quit()

send_email("Test Subject", "This is a test email body.", "recipient@example.com")

2. Web Scraping

Web scraping involves extracting data from websites. With BeautifulSoup and requests, you can gather information from web pages effortlessly.

Script Example:

python
import requests
from bs4 import BeautifulSoup

url = "http://example.com"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

data = soup.find_all('p')  # Extracts all paragraph tags
for p in data:
    print(p.text)

3. File Management

Managing files and directories is easy with Python. You can create, move, rename, and delete files using the os and shutil modules.

Script Example:

python
import os
import shutil

def organize_files(directory):
    for filename in os.listdir(directory):
        if filename.endswith('.txt'):
            shutil.move(os.path.join(directory, filename), os.path.join(directory, 'TextFiles', filename))
        elif filename.endswith('.jpg'):
            shutil.move(os.path.join(directory, filename), os.path.join(directory, 'Images', filename))

organize_files('/path/to/your/directory')

4. Data Analysis

Python's pandas library is perfect for data analysis. You can read, manipulate, and analyze large datasets with ease.

Script Example:

python
import pandas as pd

data = pd.read_csv('data.csv')
print(data.describe())

5. Social Media Automation

Automating social media posts can save a lot of time. Libraries like tweepy for Twitter and instabot for Instagram make this task straightforward.

Script Example:

python
import tweepy

def tweet_message(message):
    consumer_key = 'your_consumer_key'
    consumer_secret = 'your_consumer_secret'
    access_token = 'your_access_token'
    access_token_secret = 'your_access_token_secret'

    auth = tweepy.OAuth1UserHandler(consumer_key, consumer_secret, access_token, access_token_secret)
    api = tweepy.API(auth)

    api.update_status(status=message)

tweet_message("Hello, Twitter!")

6. Reminder Notifications

With libraries like plyer, you can create desktop notifications for reminders.

Script Example:

python
from plyer import notification

def remind_me(title, message):
    notification.notify(
        title=title,
        message=message,
        timeout=10
    )

remind_me("Meeting Reminder", "You have a meeting at 10 AM.")

7. Data Backup

Automate the backup of important files to a specified location or cloud service using shutil.

Script Example:

python
import shutil
import os

def backup_files(src, dest):
    if not os.path.exists(dest):
        os.makedirs(dest)
    for filename in os.listdir(src):
        shutil.copy(os.path.join(src, filename), dest)

backup_files('/path/to/source', '/path/to/destination')

8. Report Generation

Generate reports in various formats (PDF, Excel) using libraries like reportlab and xlsxwriter.

Script Example:

python
import xlsxwriter

def generate_report(data, filename):
    workbook = xlsxwriter.Workbook(filename)
    worksheet = workbook.add_worksheet()

    row, col = 0, 0
    for item in data:
        worksheet.write(row, col, item)
        row += 1

    workbook.close()

generate_report(['Data1', 'Data2', 'Data3'], 'report.xlsx')

9. Image Processing

Process images by resizing, cropping, and filtering using PIL (Pillow).

Script Example:

python
from PIL import Image

def resize_image(input_image_path, output_image_path, size):
    original_image = Image.open(input_image_path)
    resized_image = original_image.resize(size)
    resized_image.save(output_image_path)

resize_image('input.jpg', 'output.jpg', (800, 600))

10. Web Testing

Automate web testing using selenium.

Script Example:

python
from selenium import webdriver

def test_login(url, username, password):
    driver = webdriver.Chrome()
    driver.get(url)

    driver.find_element_by_name('username').send_keys(username)
    driver.find_element_by_name('password').send_keys(password)
    driver.find_element_by_name('submit').click()

test_login('http://example.com/login', 'user', 'pass')

11. API Integration

Integrate with various APIs to fetch or send data using requests.

Script Example:

python
import requests

def get_weather(api_key, city):
    url = f'http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}'
    response = requests.get(url)
    weather_data = response.json()
    print(weather_data)

get_weather('your_api_key', 'London')

12. Database Management

Automate database tasks like fetching, updating, and deleting records using sqlite3 or other database libraries.

Script Example:

python
import sqlite3

def fetch_data(db_name, query):
    conn = sqlite3.connect(db_name)
    cursor = conn.cursor()
    cursor.execute(query)
    data = cursor.fetchall()
    conn.close()
    return data

print(fetch_data('example.db', 'SELECT * FROM users'))

13. Finance Management

Track your expenses and manage your budget using Python scripts and pandas.

Script Example:

python
import pandas as pd

def track_expenses(file):
    df = pd.read_csv(file)
    print(df.groupby('Category').sum())

track_expenses('expenses.csv')

14. Task Automation

Automate repetitive tasks such as moving files, sending emails, or any daily routine.

Script Example:

python
import os
import shutil

def move_files(source, destination, file_extension):
    for filename in os.listdir(source):
        if filename.endswith(file_extension):
            shutil.move(os.path.join(source, filename), destination)

move_files('/path/to/source', '/path/to/destination', '.txt')

15. Weather Forecasting

Fetch and display weather forecasts using public APIs.

Script Example:

python
import requests

def get_weather(city, api_key):
    url = f'http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}'
    response = requests.get(url)
    data = response.json()
    print(f"Weather in {city}: {data['weather'][0]['description']}")

get_weather('New York', 'your_api_key')

16. Personal Assistant

Create a personal assistant to manage your daily tasks and provide information.

Script Example:

python
import pyttsx3
import speech_recognition as sr

def speak(text):
    engine = pyttsx3.init()
    engine.say(text)
    engine.runAndWait()

def listen():
    recognizer = sr.Recognizer()
    with sr.Microphone() as source:
        print("Listening...")
        audio = recognizer.listen(source)
        try:
            text = recognizer.recognize_google(audio)
            print(f"You said: {text}")
            return text
        except sr.UnknownValueError:
            print("Sorry, I did not understand that.")
            return ""

speak("How can I help you today?")
command = listen()

17. Network Monitoring

Monitor your network using Python scripts and libraries like psutil.

Script Example:

python
import psutil

def monitor_network():
    net_io = psutil.net_io_counters()
    print(f"Bytes sent: {net_io.bytes_sent}")
    print(f"Bytes received: {net_io.bytes_recv}")

monitor_network()

These scripts demonstrate the versatility and power of Python in automating a wide array of tasks. By incorporating these scripts into your daily workflow, you can save time and focus on more critical activities.

Chart: Automation Script Usage

Below is a simple chart illustrating the frequency of usage of these automation scripts in my daily routine:

plaintext
Scripts                         | Usage Frequency
--------------------------------|----------------
Email Automation                | High
Web Scraping                    | High
File Management                 | Medium
Data Analysis                   | High
Social Media Automation         | Medium
Reminder Notifications          | Low
Data Backup                     | Medium
Report Generation               | Medium
Image Processing                | Low
Web Testing                     | Low
API Integration                 | High
Database Management             | Medium
Finance Management              | High
Task Automation                 | High
Weather Forecasting             | Medium
Personal Assistant              | Low
Network Monitoring              | Low

By leveraging Python's powerful libraries and simple syntax, these automation scripts can transform your daily tasks, making your workflow more efficient and productive.

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