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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.

2 matches
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Files & data easy

Automatically Detect Corrupted Files Using SHA-256 Checksums in Python

Compute SHA-256 checksums of files and compare them to detect corruption in Python.

checksum file-integrity hashlib
Python
import hashlib
import os

def compute_sha256(filepath: str) -> str:
    """Compute SHA-256 checksum of a file."""
    sha256 = hashlib.sha256()
    with open(filepath, 'rb') as f:
        for chunk in iter(lambda: f.read(4096), b''):
            sha256.update(chunk)
    return sha256.hexdigest()

def validate_file_int…
4 0 Open
Automation & scripting medium

Build a Python Utility That Verifies Backup Integrity Automatically

Automatically compute and verify SHA-256 checksums of backup files using a JSON manifest to detect missing or corrupted data.

sha256 backup integrity
Python
import hashlib
import os
import json

def compute_checksum(filepath, algorithm='sha256'):
    """Compute checksum for the given file."""
    hash_func = hashlib.new(algorithm)
    with open(filepath, 'rb') as f:
        for chunk in iter(lambda: f.read(4096), b''):
            hash_func.update(chunk)
    return hash_f…
2 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.