Maintenance

Site is under maintenance — quizzes are still available.

Go to quizzes
Sponsored Reserved space — layout preview until AdSense is connected
Reference library

Files & data

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

6 matches
Sponsored Reserved space — layout preview until AdSense is connected
Files & data easy

Audit File Permissions Across a Project in Python

Walks through every file and directory in a project tree and prints POSIX permissions plus owner UID.

file permissions os.walk audit
Python
import os
import stat
from pathlib import Path

def audit_file_permissions(project_root):
    """Walk through project_root and print path, owner, and permissions for every file."""
    results = []
    for root, dirs, files in os.walk(project_root):
        for name in files + dirs:
            full_path = os.path.joi…
3 0 Open
Files & data easy

Compress and Extract ZIP Files Programmatically in Python

Create a ZIP archive with in-memory files and extract its contents to a directory using Python's stdlib zipfile and pathlib modules.

zip compression file-io
Python
import zipfile
from pathlib import Path
import tempfile
import os

def create_sample_zip(zip_path: str, files: dict) -> None:
    """Create a ZIP file containing the given files (name -> content mapping)."""
    with zipfile.ZipFile(zip_path, 'w', zipfile.ZIP_DEFLATED) as zf:
        for filename, content in files.ite…
8 0 Open
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…
2 0 Open
Files & data medium

Generate a Beautiful Folder Tree Visualization in Python

A Python utility that creates a visual tree of a directory structure, excluding common files, with configurable depth.

folder tree directory visualization
Python
import os
from pathlib import Path

class FolderTree:
    def __init__(self, root_path=".", ignore_list=None, max_depth=3):
        self.root = Path(root_path)
        self.ignore = set(ignore_list or [".git", "__pycache__", ".DS_Store"])
        self.max_depth = max_depth
        
    def generate(self):
        tree…
3 0 Open
Files & data easy

How to Archive Old Files by Age in Python

Move files older than a specified number of days from a source directory to an archive directory using Python's pathlib and shutil modules.

file-archiving pathlib shutil
Python
import os
import shutil
import time
from pathlib import Path

def archive_old_files(source_dir: str, archive_dir: str, days_old: int) -> None:
    cutoff_time = time.time() - (days_old * 86400)  # 86400 seconds in a day
    archive_path = Path(archive_dir)
    archive_path.mkdir(parents=True, exist_ok=True)

    for i…
3 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…
5 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.