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Reference library

Python Code Samples

Medium snippets you can copy, study, and run in the browser editor.

4 matches
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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
Algorithms & data structures medium

How to Detect Hardcoded Secrets in Python Source Code

A Python utility that scans source code for common hardcoded secrets like API keys, passwords, tokens, and AWS credentials using regex patterns.

secrets regex security
Python
import re

def detect_secrets(text):
    """Detect potential hardcoded secrets in source code."""
    patterns = {
        'api_key': r'(?i)(api[_-]?key|apikey)\s*[=:]\s*["\']([^"\']+)["\']',
        'password': r'(?i)(password|passwd)\s*[=:]\s*["\']([^"\']+)["\']',
        'token': r'(?i)(\b(token|secret)\b)\s*[=:]\s…
4 0 Open
Automation & scripting medium

Create a Python Script That Detects Website Technology Stack Automatically

This script sends an HTTP request to a URL and inspects headers and HTML content to identify technologies like servers, frameworks, and JavaScript libraries.

requests web scraping tech stack
Python
import requests
from re import search

def detect_tech_stack(url):
    tech_stack = []
    try:
        response = requests.get(url, timeout=5, headers={'User-Agent': 'Mozilla/5.0'})
        headers = response.headers
        html = response.text.lower() if response.text else ''

        # Check server header
        …
2 0 Open
Automation & scripting medium

Detect and Remove Blurry Images in Python with OpenCV

Automatically scan a directory of images, detect blur using Laplacian variance, and remove blurry images with a dry-run option for safety.

opencv image-processing automation
Python
from pathlib import Path
import cv2
import numpy as np

def is_blurry(image_path, threshold=100.0):
    """
    Detect if an image is blurry using Laplacian variance.
    Returns True if blurry, False otherwise.
    """
    img = cv2.imread(str(image_path), cv2.IMREAD_GRAYSCALE)
    if img is None:
        return True…
6 0 Open

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Each section groups closely related Python snippets.

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.