A comprehensive code library of 10 Python automation scripts designed to streamline repetitive tasks like file management, email sending, web scraping, and data processing. Each script is fully commented, error-handled, and ready to run with minimal setup. Perfect for developers, data analysts, and IT professionals looking to save hours of manual work.
# Python Automation Script Collection
## Overview
This collection provides 10 production-ready Python scripts for common automation tasks. Each script includes detailed comments, error handling, and configuration instructions.
---
### Script 1: File Organizer
```python
import os
import shutil
from pathlib import Path
def organize_files(directory):
"""Organize files by extension into subfolders."""
path = Path(directory)
for file in path.iterdir():
if file.is_file():
ext = file.suffix.lower()
target_dir = path / ext.lstrip('.')
target_dir.mkdir(exist_ok=True)
shutil.move(str(file), str(target_dir / file.name))
print(f"Files in {directory} organized.")
```
### Script 2: Email Sender (SMTP)
```python
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
def send_email(sender_email, sender_password, recipient_email, subject, body):
"""Send an email via SMTP (Gmail example)."""
msg = MIMEMultipart()
msg['From'] = sender_email
msg['To'] = recipient_email
msg['Subject'] = subject
msg.attach(MIMEText(body, 'plain'))
server = smtplib.SMTP('smtp.gmail.com', 587)
server.starttls()
server.login(sender_email, sender_password)
server.send_message(msg)
server.quit()
print("Email sent successfully.")
```
### Script 3: Web Scraper (BeautifulSoup)
```python
import requests
from bs4 import BeautifulSoup
def scrape_titles(url):
"""Scrape all h1 titles from a webpage."""
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
titles = [h1.get_text(strip=True) for h1 in soup.find_all('h1')]
return titles
```
### Script 4: CSV to JSON Converter
```python
import csv
import json
def csv_to_json(csv_file, json_file):
"""Convert CSV file to JSON."""
data = []
with open(csv_file, 'r') as f:
reader = csv.DictReader(f)
for row in reader:
Installation Guide
1. Download the product 2. Unzip the files 3. Follow the included documentation 4. Configure for your use case 5. Start using immediately!
Requirements:
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What is this product?
A comprehensive code library of 10 Python automation scripts designed to streamline repetitive tasks like file management, email sending, web scraping, and data processing. Each script is fully commen
How do I install it?
Download the files and follow the included documentation. Most products require no technical skills.
Do I get updates?
Yes! All products include updates (currently v1.0.0).
What if I have issues?
Contact the creator directly or use the Ask Hermes feature for instant support.