How to use Python scripts for system management on Linux platforms

How to use Python scripts for system management on the Linux platform

Abstract: Linux is a powerful open source operating system, and Python is a powerful programming language. This article will introduce how to use Python scripts for system management on the Linux platform, including file management, process management, system monitoring, etc., and provide specific code examples.

1. File management

1.1 Copying and moving files

Under Linux, you can use the shutil module’s copy function to To copy files, the sample code is as follows:

import shutil

src_file = '/path/to/source/file'
dst_file = '/path/to/destination/file'

shutil.copy(src_file, dst_file)  # 复制文件
shutil.move(src_file, dst_file)  # 移动文件

1.2 File deletion

Use the remove function of the os module to delete files. The sample code is as follows:

import os

file_path = '/path/to/file'

os.remove(file_path)  # 删除文件

2. Process Management

2.1 Execute system commands

You can use the os.system function to execute system commands. The sample code is as follows:

import os

command = 'ls -l'

os.system(command)  # 执行系统命令

2.2 Kill the process

Use the kill function of the os module to kill the specified process. The sample code is as follows:

import os

pid = 1234

os.kill(pid, signal.SIGKILL)  # 杀死进程

3. System monitoring

3.1 CPU information

You can use the psutil module to obtain CPU information. The sample code is as follows:

import psutil

cpu_percent = psutil.cpu_percent()  # 获取CPU使用率

print('CPU使用率：%s%%' % cpu_percent)

3.2 Memory information

Use the psutil module The virtual_memory function can obtain memory information. The sample code is as follows:

import psutil

memory = psutil.virtual_memory()

print('总内存：%s' % memory.total)
print('可用内存：%s' % memory.available)

Conclusion: Python is a powerful programming language. Using Python scripts on the Linux platform can easily carry out system operations. manage. This article introduces the usage of three aspects: file management, process management and system monitoring, and provides specific code examples. I hope readers can understand how to use Python for system management under Linux through this article, and be able to expand and apply it according to actual needs.

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