1. File and directory management automation
Scene: Automatically back up the specified folder to another location.
Script Example:
import shutil import os source_folder = '/path/to/source' destination_folder = '/path/to/destination' def backup_folder(src, dst): if not (dst): (dst) for item in (src): s = (src, item) d = (dst, item) if (s): (s, d, dirs_exist_ok=True) else: shutil.copy2(s, d) backup_folder(source_folder, destination_folder)
2. System monitoring automation
Scene: Monitor CPU usage and send alerts when usage exceeds the threshold.
Notice: Requires third-party librariespsutil
。
Script Example(Installpsutil
:pip install psutil
):
import psutil import smtplib from import MIMEText from import MIMEMultipart def check_cpu_usage(): cpu_percent = psutil.cpu_percent(interval=1) if cpu_percent > 80: send_alert(f"CPU Usage High: {cpu_percent}%") def send_alert(message): # The code for sending emails (omitted), SMTP server configuration is required pass check_cpu_usage()
3. Network task automation
Scene: Check whether the website is accessible regularly.
Script Example(userequests
Library):
import requests def check_website(url): try: response = (url) response.raise_for_status() # If the response status code is not 200, an HTTPError exception will be thrown print(f"{url} is up.") except as e: print(f"{url} is down: {e}") check_website("")
4. Automation software installation and configuration
Scene: Install and configure a package (such as Git) using Python scripts.
Notice: Usually this type of task uses the operating system's package manager (such as apt-get, yum, etc.) or installation scripts for specific software. Python can call these commands.
Script Example(Install Git on Linux):
import subprocess def install_git(): (['sudo', 'apt-get', 'update'], check=True) (['sudo', 'apt-get', 'install', 'git'], check=True) install_git()
5. Automate data processing
Scene: Process CSV files, perform data analysis and generate reports.
Script Example(usepandas
Library):
import pandas as pd def process_csv(file_path): df = pd.read_csv(file_path) # Assume some data analysis summary = () print(summary) # You can save the results to a new file or database process_csv('')
6. Automated task scheduling
Scene: Use Python scripts to schedule execution of other scripts or tasks.
Notice: Although there is no direct task scheduling function in the Python standard library, third-party libraries such asschedule
。
Script Example(Installschedule
:pip install schedule
):
import schedule import time def job(): print("Hello, World!") (10).(job) while True: schedule.run_pending() (1)
These examples provide a variety of applications of Python in operating system automation. These scripts can be adjusted and extended according to your specific needs.
This is the end of this article about the summary of 6 automation scripts for Python operating system. For more related Python operating system scripts, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!