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Python Code Samples

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

46 matches
Files & data medium

Convert Image to ASCII Art in Python

Convert any image to ASCII art by resizing, converting to grayscale, and mapping pixel brightness to characters using Pillow.

image ascii-art pillow
Python
from PIL import Image
import sys

ASCII_CHARS = "@%#*+=-:. "

def resize_image(image, new_width=100):
    """Resize image maintaining aspect ratio."""
    width, height = image.size
    ratio = height / width
    new_height = int(new_width * ratio * 0.55)  # 0.55 adjusts for font aspect ratio
    return image.resize((…
51 0 Open
Files & data medium

How to Compare Two Files by Content Hash Equality in Python

Compares two files by hashing their contents with SHA-256, skipping the hash if file sizes differ, and returns whether they are identical.

hashlib sha256 file-hashing
Python
import hashlib
from pathlib import Path

def file_hash(path: Path, chunk_size: int = 8192) -> str:
    sha256 = hashlib.sha256()
    with path.open("rb") as f:
        for chunk in iter(lambda: f.read(chunk_size), b""):
            sha256.update(chunk)
    return sha256.hexdigest()

def files_are_identical(file_a: Pat…
13 0 Open
Files & data medium

How to Scrape Headlines from a News Website Using Beautiful Soup in Python

Scrape headline text from a news website using requests and Beautiful Soup with a CSS selector.

web scraping beautifulsoup requests
Python
import requests
from bs4 import BeautifulSoup

def scrape_headlines(url: str, selector: str) -> list:
    """
    Scrape headlines from a news website using Beautiful Soup.
    
    Args:
        url: The URL of the news website.
        selector: CSS selector for headline elements.
    
    Returns:
        List of h…
55 0 Open
Files & data medium

Scrape HTML Tables and Convert Them to CSV Using Beautiful Soup in Python

Scrape a Wikipedia table with Beautiful Soup and write the data to a CSV file using the csv module.

web scraping beautiful soup csv
Python
import requests
from bs4 import BeautifulSoup
import csv

url = "https://en.wikipedia.org/wiki/List_of_countries_by_GDP_(nominal)"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

tables = soup.find_all('table', {'class': 'wikitable'})

if tables:
    target_table = tables[2]
    rows =…
47 0 Open
Algorithms & data structures medium

How to Find Four Sum Quadruplets in Python (Sorted Demo)

Find all unique quadruplets in a sorted array that sum to a target, with duplicate skipping.

two-pointers sorting four-sum
Python
def four_sum(nums, target):
    nums.sort()
    result = []
    n = len(nums)

    for i in range(n - 3):
        if i > 0 and nums[i] == nums[i - 1]:
            continue
        for j in range(i + 1, n - 2):
            if j > i + 1 and nums[j] == nums[j - 1]:
                continue
            left, right = j + 1…
13 0 Open
Algorithms & data structures medium

How to Find Intersection of Two Sorted Interval Lists in Python

A two-pointer algorithm that finds all overlapping intervals between two sorted lists of intervals.

intervals two-pointers algorithm
Python
def interval_intersection(list1, list2):
    i = j = 0
    result = []
    
    while i < len(list1) and j < len(list2):
        # Find the overlap between current intervals
        lo = max(list1[i][0], list2[j][0])
        hi = min(list1[i][1], list2[j][1])
        
        # If there's an overlap, add it to result
…
13 0 Open
Algorithms & data structures medium

How to Solve the Trapping Rain Water Problem in Python

Compute the total water trapped between elevation bars using a two-pointer O(n) algorithm.

algorithms two-pointers arrays
Python
def trap(height):
    if not height:
        return 0
    
    left, right = 0, len(height) - 1
    left_max, right_max = 0, 0
    water = 0
    
    while left < right:
        if height[left] < height[right]:
            if height[left] >= left_max:
                left_max = height[left]
            else:
         …
17 0 Open
Algorithms & data structures medium

Implement Insert Delete GetRandom O(1) in Python

Build a RandomizedSet class that supports insert, delete, and get_random in average O(1) time using a list and a dictionary mapping values to indices.

randomized-set o1-lookup hash-map
Python
import random

class RandomizedSet:
    def __init__(self):
        self.values = []
        self.index_map = {}

    def insert(self, val):
        if val in self.index_map:
            return False
        self.index_map[val] = len(self.values)
        self.values.append(val)
        return True

    def delete(self…
12 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()…
99 0 Open
Automation & scripting medium

Build a Network Ping Monitor in Python

A Python script that continuously pings a remote host using subprocess and reports connectivity status with timestamps and latency.

ping network monitoring
Python
import subprocess
import time

def ping_host(host, count=4):
    """Ping a host and return the results."""
    try:
        # Platform-independent ping command
        cmd = ["ping", "-c", str(count), host]
        result = subprocess.run(cmd, capture_output=True, text=True, timeout=10)
        return result.stdout, r…
93 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 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
        …
42 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…
42 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()
    …
48 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…
42 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_…
33 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:
      …
37 0 Open
Automation & scripting medium

Find Best Meeting Time Across Time Zones in Python

This code calculates overlapping available hours among participants in different time zones and returns the best meeting time in UTC and each participant's local time.

timezones scheduling datetime
Python
from datetime import datetime, timedelta, timezone
from zoneinfo import ZoneInfo
from dataclasses import dataclass
from typing import List, Tuple, Optional

@dataclass
class Participant:
    name: str
    timezone: str
    # weekdays availability: 0=Mon, start_hour (0-23), end_hour (0-23)
    available_slots: List[Tup…
39 0 Open
Automation & scripting medium

Find Broken Image References Across a Website in Python

Crawl internal pages of a website, collect all image source URLs, then check each with HEAD requests to report any that return HTTP 4xx or connection errors.

web scraping crawling broken links
Python
import requests
from urllib.parse import urljoin, urlparse
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor, as_completed

def find_all_links(base_url, max_pages=50):
    visited, to_visit = set(), {base_url}
    while to_visit and len(visited) < max_pages:
        url = to_visit.pop()
 …
37 0 Open
Automation & scripting medium

How to Build a Cryptocurrency Price Tracker in Python

A continuous Python script that fetches real-time cryptocurrency prices from the CoinGecko API and displays them on a loop.

crypto api automation
Python
import requests
import time

def get_crypto_prices(coin_ids=["bitcoin", "ethereum", "solana"]):
    url = "https://api.coingecko.com/api/v3/simple/price"
    params = {
        "ids": ",".join(coin_ids),
        "vs_currencies": "usd"
    }
    try:
        response = requests.get(url, params=params, timeout=10)
     …
44 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…
39 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…
48 0 Open
Automation & scripting medium

How to Ping Multiple Hosts in Parallel with Python ThreadPoolExecutor

A parallel host-pinging script using ThreadPoolExecutor and subprocess to check connectivity across multiple addresses concurrently.

thread-pool subprocess ping
Python
import subprocess
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path

HOSTS = [
    "google.com",
    "github.com",
    "stackoverflow.com",
    "nonexistent.invalid",
    "localhost",
]

def ping_host(host: str) -> str:
    """Ping a single host and return a status string."""
    result = subp…
12 0 Open
Automation & scripting medium

Scrape HTML Tables in Python with html.parser

Extract data from HTML tables using Python's built-in html.parser module, without third-party dependencies, by overriding callback methods to track table, row, and cell states.

html scraping parser
Python
import html.parser
from urllib.request import urlopen


class TableParser(html.parser.HTMLParser):
    def __init__(self):
        super().__init__()
        self.in_table = False
        self.in_row = False
        self.in_cell = False
        self.current_cell = []
        self.rows = []
        self.row = []

    d…
12 0 Open

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