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Reference library

Python code samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

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Automation & scripting medium

Find and Delete Duplicate Files Using Hashing in Python

Walk a directory tree, compute SHA256 hashes for every file, and delete duplicates that share the same hash.

deduplication files hashing
Python
import hashlib
import os
from pathlib import Path

def file_hash(path, block_size=65536):
    """Return SHA256 hash of file content."""
    hasher = hashlib.sha256()
    with open(path, 'rb') as f:
        while chunk := f.read(block_size):
            hasher.update(chunk)
    return hasher.hexdigest()

def find_and_d…
1 0 Open
Automation & scripting medium

How to Monitor Website Content Changes in Python

This script fetches a webpage's content, computes its SHA-256 hash, and compares it with the last stored hash to detect and alert on changes.

web scraping monitoring requests
Python
import time
import hashlib
import requests
from pathlib import Path

def fetch_content_hash(url: str) -> str:
    response = requests.get(url, timeout=10)
    response.raise_for_status()
    return hashlib.sha256(response.text.encode()).hexdigest()

def monitor_website(url: str, check_interval: int = 60):
    hash_fil…
1 0 Open

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Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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.