Reference library

Python Code Samples

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

266 matches
AI & LLM integration patterns easy

How to Filter Toxic Keywords in Python

Filter toxic keywords from text by replacing each occurrence with asterisks, useful as a basic guardrail for LLM inputs.

guardrails text-filtering llm-safety
Python
TOXIC_KEYWORDS = ["insult", "threat", "hate", "violence", "spam"]


def guardrails_filter(text: str, keywords: list[str] | None = None) -> str:
    """Filter out toxic keywords from the given text.

    Args:
        text: The input text to filter.
        keywords: Optional keyword list. Defaults to TOXIC_KEYWORDS.

…
12 0 Open
AI & LLM integration patterns easy

How to Parse JSON from LLM Model Output Fence in Python

Extract and parse a JSON object from a language model's output that may be wrapped in triple-backtick fences with an optional language tag.

json llm parsing
Python
import json
import re

def parse_json_from_fence(text):
    """
    Extract JSON object from a model output that may be wrapped in
    triple-backtick fences with optional language tag.
    """
    # Match content inside
12 0 Open
AI & LLM integration patterns easy

How to Parse an LLM Response in Python

This code parses a JSON string from an LLM response, stripping code fences and handling common issues like whitespace, returning a Python dictionary.

llm json parsing
Python
import json
from typing import Any, Dict, List


def parse_llm_response(response: str) -> Dict[str, Any]:
    """Parse a JSON string from an LLM response, handling common edge cases."""
    # Remove code fences if present
    cleaned = response.strip()
    if cleaned.startswith("
14 0 Open
AI & LLM integration patterns easy

How to Render a Jinja-like Template from a Dict in Python

Replace {{placeholders}} in a string using values from a Python dict with a simple regex-based template renderer.

templating regex strings
Python
import re

def render_template(template, context):
    pattern = re.compile(r"\{\{\s*(\w+)\s*\}\}")
    def replace(match):
        key = match.group(1)
        return str(context.get(key, ""))
    return pattern.sub(replace, template)

if __name__ == "__main__":
    template = "Hello {{name}}, you have {{count}} new …
14 0 Open
AI & LLM integration patterns easy

How to Stream Tokens from a Mock LLM in Python

Simulate real-time LLM streaming by yielding tokens one at a time with a delay, making it easy to test streaming UIs.

generator llm streaming
Python
import time
from typing import Generator


def stream_tokens(text: str, delay: float = 0.05) -> Generator[str, None, None]:
    """Simulate an LLM streaming tokens word by word."""
    for word in text.split():
        yield word
        time.sleep(delay)


if __name__ == "__main__":
    sample = "Hello world! This is…
15 0 Open
AI & LLM integration patterns medium

How to cache embeddings with a Python dict to avoid recomputation

Caches embeddings computed from text in a dictionary keyed by SHA-256 hash, returning cached results for repeated calls.

embedding cache dict
Python
import hashlib
import time


class EmbeddingCache:
    def __init__(self):
        self.cache = {}

    def _hash_text(self, text):
        return hashlib.sha256(text.encode()).hexdigest()

    def get_embedding(self, text, compute_func):
        key = self._hash_text(text)
        if key not in self.cache:
          …
15 0 Open
AI & LLM integration patterns easy

How to randomly assign a prompt variant to each key in Python

Randomly pick one variant from a list for each prompt key, useful for A/B testing message variations.

random dictionary a/b-testing
Python
import random

def assign_prompt_variant(prompts: dict[str, list[str]]) -> dict[str, str]:
    """Assign a random prompt variant to each prompt key."""
    return {key: random.choice(variants) for key, variants in prompts.items()}

if __name__ == "__main__":
    prompt_bank = {
        "greeting": ["Hello!", "Hi there…
14 0 Open
Automation & scripting easy

Automate Tweeting New Blog Posts in Python

A mock script that fetches new blog posts from a CMS and tweets them via a simulated Twitter API, outputting JSON results.

automation tweeting blog
Python
import json
import time
from datetime import datetime


def fetch_new_blog_posts():
    """Mock function to simulate fetching latest blog posts from a CMS."""
    return [
        {
            "id": 1,
            "title": "Getting Started with Python",
            "url": "https://blog.example.com/python-start",
    …
17 0 Open
Automation & scripting medium

Automatically Clean Temporary Files from Applications Using Python

A Python script that safely deletes temporary files from common application temp directories across Windows, Linux, and macOS, tracking cleaned count and disk space.

temporary-files cleanup automation
Python
import os
import shutil
import tempfile
import platform

def clean_application_temp_files():
    """Delete common temporary file locations safely."""
    system = platform.system()
    temp_dirs = []

    if system == "Windows":
        temp_dirs.extend([
            os.path.join(os.getenv("LOCALAPPDATA"), "Temp"),
  …
58 0 Open
Automation & scripting medium

Automatically Download the Latest Software Release from GitHub with Python

Use the GitHub API to fetch the latest release metadata and download the first asset (binary or archive) to a local directory.

github api download
Python
import requests
import sys
from pathlib import Path

def download_latest_release(owner: str, repo: str, output_dir: str = ".") -> None:
    """Download the latest release asset from a GitHub repository."""
    url = f"https://api.github.com/repos/{owner}/{repo}/releases/latest"
    response = requests.get(url)
    res…
66 0 Open
Automation & scripting medium

Automatically Generate Charts from CSV Files with One Command

Read a CSV file with headers, extract the first two numeric columns, and save a matplotlib line chart as a PNG image.

csv matplotlib charting
Python
import csv
import sys
from pathlib import Path
import matplotlib.pyplot as plt

def generate_chart(csv_path: str) -> None:
    """Read a CSV file with headers and plot the first two numeric columns."""
    data = []
    with open(csv_path, 'r', newline='') as f:
        reader = csv.reader(f)
        headers = next(re…
67 0 Open
Automation & scripting medium

Build a Complete Web Scraper with Requests and BeautifulSoup in Python

Scrape multiple paginated pages from a website using Requests and BeautifulSoup, with retry logic, error handling, and CSV export.

web scraping requests beautifulsoup
Python
import requests
from bs4 import BeautifulSoup
import csv
import time
from typing import List, Dict, Optional

class WebScraper:
    def __init__(self, base_url: str, output_file: str = "scraped_data.csv"):
        self.base_url = base_url
        self.output_file = output_file
        self.session = requests.Session()…
102 0 Open
Automation & scripting easy

Build an M3U Playlist from Folder MP3s in Python

Scans a folder for MP3 files and writes a valid M3U playlist with absolute file URIs.

m3u playlist pathlib
Python
from pathlib import Path
import sys


def build_playlist(folder: str, output: str = "playlist.m3u") -> str:
    folder_path = Path(folder)
    if not folder_path.is_dir():
        raise FileNotFoundError(f"Folder not found: {folder}")

    mp3_files = sorted(folder_path.glob("*.mp3"))
    if not mp3_files:
        pri…
18 0 Open
Automation & scripting medium

Build an RSS feed from markdown blog posts in Python

Scans a folder of markdown files, extracts titles, dates, and excerpts, and generates a valid RSS 2.0 XML feed.

rss markdown xml
Python
import re
from pathlib import Path
from xml.etree.ElementTree import Element, SubElement, tostring
from datetime import datetime, timezone
from xml.dom import minidom

def build_rss(blog_dir, site_url="https://example.com"):
    feed = Element("rss", version="2.0")
    channel = SubElement(feed, "channel")
    SubElem…
12 0 Open
Automation & scripting medium

Convert DOCX to Text by Unzipping XML in Python

Extract plain text from a .docx file by unzipping the container and parsing word/document.xml with regex, using only Python's standard library.

docx zipfile xml
Python
import zipfile
import re
from pathlib import Path

def docx_to_text_unzip_xml(docx_path: str) -> str:
    """Extract plain text from a .docx file by unzipping and parsing document.xml."""
    docx_path = Path(docx_path)
    if not docx_path.exists():
        raise FileNotFoundError(f"File not found: {docx_path}")

   …
12 0 Open
Automation & scripting easy

Create a Simple HTTP File Server in Python

This code creates a simple HTTP file server that serves files from the current working directory on port 8000 using Python's built-in http.server module.

http server file-server
Python
import http.server
import socketserver
import os

PORT = 8000
DIRECTORY = os.getcwd()

class CustomHandler(http.server.SimpleHTTPRequestHandler):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, directory=DIRECTORY, **kwargs)

    def log_message(self, format, *args):
        print(f"[{self.log…
58 0 Open
Automation & scripting medium

Discover RSS Feeds From Any Website in Python

Scrape a website's HTML to automatically find all linked RSS or Atom feed URLs using requests, BeautifulSoup, and regex.

rss web-scraping beautifulsoup
Python
import requests
import re
from urllib.parse import urljoin, urlparse
from bs4 import BeautifulSoup

def discover_rss_feeds(url):
    """Discover all RSS/Atom feeds linked from a given website."""
    try:
        headers = {'User-Agent': 'Mozilla/5.0 (compatible; RSSDiscovery/1.0)'}
        response = requests.get(url…
44 0 Open
Automation & scripting medium

Download Images from a Web Page Automatically in Python

Scrape all images from a webpage, filter by extension, and save them to a local folder using requests and BeautifulSoup.

web-scraping requests beautifulsoup
Python
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin
import os

def download_images(url, output_folder="downloaded_images"):
    """Download all images from a given URL."""
    os.makedirs(output_folder, exist_ok=True)
    
    response = requests.get(url)
    response.raise_for_status()
    …
49 0 Open
Automation & scripting medium

Extract All Links from Any Website in Python

Scrape a webpage and extract all absolute HTTP/HTTPS links using requests and regex.

web-scraping links requests
Python
import requests
import re
from urllib.parse import urljoin

def extract_links(url):
    try:
        response = requests.get(url)
        response.raise_for_status()
        html = response.text
        # Find all href attributes in anchor tags
        pattern = r'href=["\'](.*?)["\']'
        raw_links = re.findall(p…
44 0 Open
Automation & scripting medium

Extract Attachments from mbox Mailbox Files in Python

Extract file attachments from an mbox mailbox format using Python's standard library email and mailbox modules.

mbox email attachments
Python
import email
import mailbox
from email.policy import default
from pathlib import Path

def extract_attachments(mbox_path, output_dir):
    output_dir = Path(output_dir)
    output_dir.mkdir(exist_ok=True)
    mbox = mailbox.mbox(mbox_path)
    
    for msg in mbox:
        if msg.is_multipart():
            for part i…
13 0 Open
Automation & scripting medium

Extract Every Open Graph and Social Media Meta Tag from Web Pages in Python

A Python script that fetches a webpage and extracts all Open Graph, Twitter Card, Facebook, and Article meta tags using the standard library HTML parser.

meta tags open graph twitter cards
Python
from html.parser import HTMLParser
import re
from urllib.request import urlopen
from urllib.parse import urlparse

class MetaExtractor(HTMLParser):
    def __init__(self):
        super().__init__()
        self.meta_tags = []
    
    def handle_starttag(self, tag, attrs):
        if tag == 'meta':
            attrs_…
35 0 Open
Automation & scripting easy

Fill PDF Form Fields from a Mock Template in Python

Fills a PDF-style form template dictionary with user data, preserving template fields and formatting output as JSON.

pdf forms json
Python
import json

template = {
    "first_name": "",
    "last_name": "",
    "email": "",
    "phone": "",
    "date_of_birth": "",
    "address": "",
    "city": "",
    "state": "",
    "zip_code": "",
    "agree_to_terms": False
}


def fill_pdf_form(template: dict, data: dict) -> dict:
    for key, value in data.items…
11 0 Open
Automation & scripting medium

Find All Redirects on a Website in Python

Crawl a website from a starting URL, follow links within the same domain, and detect every HTTP redirect (301, 302, 303, 307, 308) using requests with redirects disabled.

redirects crawling requests
Python
import requests
from urllib.parse import urljoin, urlparse
from collections import deque

def find_redirects(start_url, max_pages=50):
    visited = set()
    redirects = {}
    queue = deque([start_url])
    
    while queue and len(visited) < max_pages:
        url = queue.popleft()
        if url in visited:
      …
39 0 Open
Automation & scripting medium

Generate Beautiful Project Documentation from Python Source Code Automatically

Automatically generate a markdown summary of function docstrings from any Python source file using the AST module.

ast automation documentation
Python
import ast
import inspect
from pathlib import Path

def extract_docstrings_from_file(filepath):
    """Parse a Python file and collect function docstrings."""
    source = Path(filepath).read_text()
    tree = ast.parse(source)

    docs = []
    for node in ast.walk(tree):
        if isinstance(node, (ast.FunctionDef…
35 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.