Reference library

Files & data

Read and write files safely; parse JSON, CSV, and common text formats.

3 matches
Files & data medium

Find Duplicate Web Pages by Content Similarity in Python

Compute SHA-256 hashes of file contents to detect and report duplicate HTML pages or any files in a directory.

duplicate-detection hashing sha256
Python
import hashlib
import os
from collections import defaultdict

def get_file_hash(filepath):
    """Compute SHA-256 hash of file contents."""
    sha256 = hashlib.sha256()
    with open(filepath, 'rb') as f:
        for chunk in iter(lambda: f.read(4096), b''):
            sha256.update(chunk)
    return sha256.hexdiges…
47 0 Open
Files & data medium

How to Automatically Extract Every Archive in a Folder with Python

Walk through a folder and extract all ZIP, RAR, and 7Z archives into separate subdirectories using Python.

zipfile rarfile py7zr
Python
import zipfile
import rarfile
import py7zr
import pathlib

def extract_archives(folder: str):
    """Extract every ZIP, RAR, and 7Z archive in the given folder."""
    folder_path = pathlib.Path(folder)
    for archive_file in folder_path.iterdir():
        suffix = archive_file.suffix.lower()
        try:
           …
40 0 Open
Files & data medium

How to Generate an Inventory Report of All Files in Python

Walk a directory tree, collect metadata for every file, and write a CSV inventory report using Python's os, pathlib, and csv modules.

os.walk pathlib csv
Python
import os
import csv
from pathlib import Path
from datetime import datetime

def generate_inventory_report(root_dir: str = "/", output_file: str = "inventory_report.csv"):
    headers = ["File Path", "Size (bytes)", "Last Modified", "File Type"]
    rows = []
    start_time = datetime.now()
    
    for dirpath, dirna…
49 0 Open

Browse by section

Each section groups closely related Python snippets.

Files & data — Python code examples

What you will find here

This page collects files & data snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.