There were too many files and they were randomly placed. Suddenly one day I found that the hard disk space was not enough, so I wrote a python script to search for all files larger than 10MB to see if there are duplicate copies of these large files. If so, list them all so that they can be deleted manually.
Usage method: add a parameter specifying the directory
For example, python redundant_remover.py /tmp
Mainly use the stat module, os, sys system module
import os, sys #引入统计模块 from stat import * BIG_FILE_THRESHOLD = 10000000L dict1 = {} # filesize 做 key, filename 做 value dict2 = {} # filename 做 key, filesize 做 value def treewalk(path): try: for i in os.listdir(path): mode = os.stat(path+"/"+i).st_mode if S_ISDIR(mode) <> True: filename = path+"/"+i filesize = os.stat(filename).st_size if filesize > BIG_FILE_THRESHOLD: if filesize in dict1: dict2[filename] = filesize dict2[dict1[filesize]]=filesize else: dict1[filesize] = filename else: treewalk(path+"/"+i) except WindowsError: pass def printdict(finaldict): for i_size in finaldict.values(): print i_size for j_name in finaldict.keys(): if finaldict[j_name] == i_size: print j_name print "\n" if __name__=="__main__": treewalk(sys.argv[1]) printdict(dict2)

This tutorial demonstrates how to use Python to process the statistical concept of Zipf's law and demonstrates the efficiency of Python's reading and sorting large text files when processing the law. You may be wondering what the term Zipf distribution means. To understand this term, we first need to define Zipf's law. Don't worry, I'll try to simplify the instructions. Zipf's Law Zipf's law simply means: in a large natural language corpus, the most frequently occurring words appear about twice as frequently as the second frequent words, three times as the third frequent words, four times as the fourth frequent words, and so on. Let's look at an example. If you look at the Brown corpus in American English, you will notice that the most frequent word is "th

This article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel

Dealing with noisy images is a common problem, especially with mobile phone or low-resolution camera photos. This tutorial explores image filtering techniques in Python using OpenCV to tackle this issue. Image Filtering: A Powerful Tool Image filter

PDF files are popular for their cross-platform compatibility, with content and layout consistent across operating systems, reading devices and software. However, unlike Python processing plain text files, PDF files are binary files with more complex structures and contain elements such as fonts, colors, and images. Fortunately, it is not difficult to process PDF files with Python's external modules. This article will use the PyPDF2 module to demonstrate how to open a PDF file, print a page, and extract text. For the creation and editing of PDF files, please refer to another tutorial from me. Preparation The core lies in using external module PyPDF2. First, install it using pip: pip is P

This tutorial demonstrates how to leverage Redis caching to boost the performance of Python applications, specifically within a Django framework. We'll cover Redis installation, Django configuration, and performance comparisons to highlight the bene

This article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap

This tutorial demonstrates creating a custom pipeline data structure in Python 3, leveraging classes and operator overloading for enhanced functionality. The pipeline's flexibility lies in its ability to apply a series of functions to a data set, ge

Python, a favorite for data science and processing, offers a rich ecosystem for high-performance computing. However, parallel programming in Python presents unique challenges. This tutorial explores these challenges, focusing on the Global Interprete


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

Notepad++7.3.1
Easy-to-use and free code editor

Atom editor mac version download
The most popular open source editor

WebStorm Mac version
Useful JavaScript development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
