search
HomeBackend DevelopmentPython TutorialUsing Python script operations to implement file compression and decompression on the Linux platform

Using Python script operations to implement file compression and decompression on the Linux platform

Using Python scripts to compress and decompress files on the Linux platform is a very convenient and efficient method. In this article, we will discuss how to use Python to write scripts to compress and decompress files, and provide specific code examples.

1. File Compression

File compression is to package and compress one or more files into a single file to reduce the space occupied by the file and the transmission time. In the Linux platform, we can use Python's zipfile module to implement file compression.

The following is an example that demonstrates how to use a Python script to compress files:

import zipfile
import os

def compress_files(source_dir, zip_file):
    with zipfile.ZipFile(zip_file, 'w') as zipf:
        for root, _, files in os.walk(source_dir):
            for file in files:
                file_path = os.path.join(root, file)
                zipf.write(file_path, os.path.relpath(file_path, source_dir))
        print('文件压缩完成!')

source_dir = '/path/to/source/dir'  # 待压缩的文件夹路径
zip_file = '/path/to/zip/file.zip'  # 压缩后的文件路径

compress_files(source_dir, zip_file)

In this example, we define a compress_files function that receives two Parameters: source_dir and zip_file, respectively represent the folder path to be compressed and the compressed file path. In the function body, we use zipfile.ZipFile to create a ZipFile object, and then use os.walk to traverse all the files in the folder and write them to the compressed file.

After executing the above code, we can find a compressed file named file.zip under the specified path, which contains all the files in the source_dir folder document.

2. File decompression

File decompression is to restore the compressed file to the original file and restore the complete directory structure of the file. Similarly, we can use Python's zipfile module to decompress files.

The following is an example that demonstrates how to use a Python script to decompress files:

import zipfile
import os

def extract_files(zip_file, dest_dir):
    with zipfile.ZipFile(zip_file, 'r') as zipf:
        zipf.extractall(dest_dir)
        print('文件解压缩完成!')

zip_file = '/path/to/zip/file.zip'  # 待解压缩的文件路径
dest_dir = '/path/to/destination/dir'  # 解压缩后文件的存放路径

extract_files(zip_file, dest_dir)

In this example, we define an extract_files function that receives two Two parameters: zip_file and dest_dir, respectively represent the path of the file to be decompressed and the storage path of the decompressed file. In the function body, we use zipfile.ZipFile to create a ZipFile object, and then use the extractall function to extract the contents of the compressed file to the specified target folder.

After executing the above code, the contents of the compressed file will be restored to the target folder and the original directory structure will be maintained.

3. Summary

Using Python scripts to compress and decompress files is a very convenient and efficient method under the Linux platform. By using Python's zipfile module, we can easily implement file packaging, compression and decompression operations.

I hope the above code examples can help you and give you a better grasp of how to use Python scripts to compress and decompress files on the Linux platform. Happy writing!

The above is the detailed content of Using Python script operations to implement file compression and decompression on the Linux platform. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python: Automation, Scripting, and Task ManagementPython: Automation, Scripting, and Task ManagementApr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python and Time: Making the Most of Your Study TimePython and Time: Making the Most of Your Study TimeApr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python: Games, GUIs, and MorePython: Games, GUIs, and MoreApr 13, 2025 am 12:14 AM

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python vs. C  : Applications and Use Cases ComparedPython vs. C : Applications and Use Cases ComparedApr 12, 2025 am 12:01 AM

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

The 2-Hour Python Plan: A Realistic ApproachThe 2-Hour Python Plan: A Realistic ApproachApr 11, 2025 am 12:04 AM

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python: Exploring Its Primary ApplicationsPython: Exploring Its Primary ApplicationsApr 10, 2025 am 09:41 AM

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

How Much Python Can You Learn in 2 Hours?How Much Python Can You Learn in 2 Hours?Apr 09, 2025 pm 04:33 PM

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics in project and problem-driven methods within 10 hours?How to teach computer novice programming basics in project and problem-driven methods within 10 hours?Apr 02, 2025 am 07:18 AM

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Chat Commands and How to Use Them
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.