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Reference library

Python Code Samples

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

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Automation & scripting medium

Build a Complete Website Sitemap Generator Without External Services

Crawl a website recursively using only Python's standard library to generate a structured sitemap of internal links.

sitemap web-crawler html-parser
Python
import json
from urllib.parse import urlparse, urljoin
from collections import deque
import urllib.request
import urllib.error
import re
from html.parser import HTMLParser

class SitemapParser(HTMLParser):
    def __init__(self, base_url):
        super().__init__()
        self.base_url = base_url
        self.links …
2 0 Open
Automation & scripting medium

How to Create a Link Graph Visualization for Any Website in Python

A Python script that crawls a website's internal links, builds a directed graph of parent-child URL relationships, and prints the graph to the console.

crawler graph visualization
Python
import requests
from bs4 import BeautifulSoup
from collections import defaultdict
from urllib.parse import urljoin, urlparse
import sys

def get_links(url, max_links=20):
    try:
        response = requests.get(url, timeout=5)
        soup = BeautifulSoup(response.text, 'html.parser')
        base_url = f"{urlparse(u…
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.