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Python Code Samples

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

84 matches
Functions & basics medium

How to Build a Subcommand Parser Tree with argparse in Python

Create a CLI with nested subcommands (like git) using argparse subparsers, where each subcommand maps to its own handler function.

argparse cli subparsers
Python
import argparse


def cmd_add(args):
    print(f"Adding {args.num1} + {args.num2} = {args.num1 + args.num2}")


def cmd_sub(args):
    print(f"Subtracting {args.num1} - {args.num2} = {args.num1 - args.num2}")


def main():
    parser = argparse.ArgumentParser(prog="calculator")
    subparsers = parser.add_subparsers(d…
13 0 Open
Functions & basics medium

How to Implement a Trampoline for Tail Recursion in Python

This code implements a trampoline decorator that converts tail-recursive functions into iterative loops, allowing deep recursion without hitting Python's recursion limit.

trampoline tail-recursion decorator
Python
def trampoline(fn):
    """Convert a tail-recursive function into an iterative loop."""
    def wrapper(*args, **kwargs):
        result = fn(*args, **kwargs)
        while callable(result):
            result = result()
        return result
    return wrapper

@trampoline
def factorial(n, acc=1):
    """Tail-recursi…
12 0 Open
Files & data medium

How to Audit Environment Variable Files for Missing Values in Python

A Python tool that reads an environment variable file and reports any variables with empty or missing values.

environment-variables file-audit configuration
Python
import os
import re
from pathlib import Path

def audit_env_file(filepath: str) -> None:
    """
    Audit an environment variable file for missing values.
    Prints file status and lists variables that have empty values.
    """
    path = Path(filepath)
    if not path.exists():
        print(f"Error: File '{filepa…
40 0 Open
Dictionaries & sets medium

How to Build a TTL Cache Dict in Python

Create a dictionary subclass that automatically expires keys after a fixed time-to-live using timestamps.

dictionary cache ttl
Python
import time

class TTLDict(dict):
    def __init__(self, ttl, *args, **kwargs):
        self.ttl = ttl
        self._expires = {}
        super().__init__(*args, **kwargs)

    def __setitem__(self, key, value):
        super().__setitem__(key, value)
        self._expires[key] = time.time() + self.ttl

    def __geti…
16 0 Open
Dictionaries & sets medium

How to Build a Two-Way Dictionary in Python

Implement a BiDict class that supports both forward key-to-value and reverse value-to-key lookups with a simple add, delete, and update API.

dictionary bidirectional class
Python
class BiDict:
    def __init__(self, data=None):
        self.forward = {}
        self.backward = {}
        if data:
            self.update(data)

    def update(self, data):
        for key, value in data.items():
            self[key] = value

    def __setitem__(self, key, value):
        self.forward[key] = val…
11 0 Open
Dictionaries & sets medium

Unflatten Dot Keys to Nested Dict in Python

Convert a flat dictionary with dot-separated keys into a nested dictionary structure using recursive setdefault loops.

dictionaries nested flatten
Python
def unflatten_dot_keys(flat_dict):
    result = {}
    for flat_key, value in flat_dict.items():
        parts = flat_key.split(".")
        current = result
        for part in parts[:-1]:
            current = current.setdefault(part, {})
        current[parts[-1]] = value
    return result


if __name__ == "__main_…
14 0 Open
OOP & classes medium

How to implement a Facade class to simplify subsystem calls in Python

Use a Facade class to wrap complex subsystem interactions behind a simple start() method, hiding the details and providing a clean interface.

facade design-patterns oop
Python
class CPU:
    def freeze(self):
        print("CPU: freezing")

    def jump(self, position):
        print(f"CPU: jumping to {position}")

    def execute(self):
        print("CPU: executing")


class Memory:
    def load(self, position, data):
        print(f"Memory: loading '{data}' at {position}")


class HardDr…
15 0 Open
OOP & classes medium

Implement the Strategy Pattern with Interchangeable Algorithm Classes in Python

Uses abstract base classes to define a SortStrategy interface, then swaps between BubbleSort and QuickSort at runtime.

strategy-pattern oop abstract-class
Python
from abc import ABC, abstractmethod
from typing import List


class SortStrategy(ABC):
    @abstractmethod
    def sort(self, data: List[int]) -> List[int]:
        pass


class BubbleSort(SortStrategy):
    def sort(self, data: List[int]) -> List[int]:
        result = data[:]
        n = len(result)
        for i in…
12 0 Open
OOP & classes medium

Memento Pattern in Python: Save and Restore Object State

Implement the Memento design pattern to snapshot and restore an object's state, demonstrated with a text editor undo feature.

memento design-pattern undo
Python
class TextEditor:
    def __init__(self, text="", cursor_pos=0):
        self.text = text
        self.cursor_pos = cursor_pos

    def type_text(self, new_text):
        self.text += new_text
        self.cursor_pos += len(new_text)

    def move_cursor(self, pos):
        self.cursor_pos = max(0, min(pos, len(self.t…
14 0 Open
OOP & classes medium

Template Method Pattern in Python: Define Base Class with Algorithm Steps

Create a template method base class using ABC that defines the skeleton of an algorithm while letting subclasses implement specific steps.

template-method abstract-class design-pattern
Python
from abc import ABC, abstractmethod


class DataProcessor(ABC):
    """Template method that defines the skeleton of an algorithm."""
    
    def process(self):
        """Template method - defines the sequence of steps."""
        self.load_data()
        self.clean_data()
        self.transform_data()
        self.s…
12 0 Open
Algorithms & data structures medium

Find Longest Consecutive Sequence in Python

Find the length of the longest consecutive elements sequence in an unsorted array using a set for O(n) lookups.

set longest-sequence hash-table
Python
def longest_consecutive_length(nums):
    num_set = set(nums)
    longest = 0
    
    for num in num_set:
        if num - 1 not in num_set:
            current = num
            current_streak = 1
            
            while current + 1 in num_set:
                current += 1
                current_streak += 1
…
13 0 Open
Algorithms & data structures medium

How to Decode a String with Repeated Brackets in Python

Decodes strings with patterns like '3[a]2[bc]' by using a stack to handle nested and repeated bracket groups.

stack string-decoding algorithms
Python
def decode_string(s: str) -> str:
    stack = []
    current_num = 0
    current_str = ""

    for ch in s:
        if ch.isdigit():
            current_num = current_num * 10 + int(ch)
        elif ch == "[":
            stack.append((current_str, current_num))
            current_str = ""
            current_num = 0…
13 0 Open
Algorithms & data structures medium

How to Find Minimum Swaps to Sort an Array in Python

Calculate the minimum number of adjacent-free swaps needed to sort a permutation array using cycle detection in Python.

sorting cycles greedy
Python
def min_swaps_to_sort(arr):
    n = len(arr)
    arr_pos = sorted((val, idx) for idx, val in enumerate(arr))
    visited = [False] * n
    swaps = 0

    for i in range(n):
        if visited[i] or arr_pos[i][1] == i:
            continue

        cycle_size = 0
        j = i
        while not visited[j]:
            …
13 0 Open
Algorithms & data structures medium

How to Find the n Smallest Items in a Large List with heapq in Python

This code demonstrates how to efficiently extract the n smallest items from a large list using Python's heapq module and a manual max-heap approach.

heapq heaps large data
Python
import heapq

def n_smallest_iterable(data, n):
    """Return the n smallest items without loading the whole list."""
    if n <= 0:
        return []
    return heapq.nsmallest(n, data)

def n_smallest_manual(data, n):
    """Return the n smallest using a heap, O(n log k) time."""
    if n <= 0:
        return []
   …
13 0 Open
AI & LLM integration patterns medium

Circuit Breaker Pattern in Python for LLM API Calls

Implements a circuit breaker class that wraps LLM client calls to fail fast when the service is degrading, then recover automatically after a timeout.

circuit-breaker llm resilience
Python
import time

class CircuitBreaker:
    def __init__(self, failure_threshold=3, recovery_timeout=5):
        self.failure_threshold = failure_threshold
        self.recovery_timeout = recovery_timeout
        self.failure_count = 0
        self.state = "closed"
        self.last_failure_time = None

    def call(self, …
17 0 Open
AI & LLM integration patterns medium

Parse ReAct Logs into Thought Action Observation Steps in Python

Parse a ReAct agent's textual log into structured steps with thought, action, and observation using regex and named tuples.

react regex llm
Python
import re
from collections import namedtuple


ReActStep = namedtuple("ReActStep", ["thought", "action", "observation"])


def parse_react_log(log: str) -> list[ReActStep]:
    """Parse a ReAct log into structured thought/action/observation steps."""
    pattern = re.compile(
        r"Thought:\s*(?P<thought>.+?)\s*"
…
13 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…
96 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

Find Zombie Processes on Linux with Python

Parse the output of `ps -eo pid,stat,comm` to detect processes in zombie state (Z) on a Linux system and report their PIDs and commands.

linux process monitoring
Python
#!/usr/bin/env python3
import os
import subprocess

def find_zombie_processes():
    """Find zombie processes (state 'Z') running on Linux."""
    try:
        result = subprocess.run(['ps', '-eo', 'pid,stat,comm'], capture_output=True, text=True, check=True)
        zombies = []
        for line in result.stdout.stri…
38 0 Open
Automation & scripting medium

How to Build a Mock Route53 DNS API in Python

Create a mock DNS API server in Python that simulates Route53 record lookups and updates using the standard library.

mock-server dns http-server
Python
import json
from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse, parse_qs


class DNSUpdateHandler(BaseHTTPRequestHandler):
    records = {"example.com": "1.2.3.4"}

    def do_GET(self):
        domain = parse_qs(urlparse(self.path).query).get("domain", [""])[0]
        if dom…
13 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…
41 0 Open
Automation & scripting medium

How to Detect Applications Consuming Excessive Memory in Python

Use psutil to list the top memory-using processes by RSS and print their names, PIDs, and memory usage in MB.

psutil memory monitoring
Python
import psutil

def find_top_memory_processes(limit=5):
    """Return top `limit` processes by memory usage (RSS)."""
    processes = []

    for proc in psutil.process_iter(['pid', 'name', 'memory_info']):
        try:
            info = proc.info
            mem = info['memory_info'].rss if info['memory_info'] else 0…
37 0 Open
Automation & scripting medium

How to Detect Network Interface Changes in Python

Monitor active network interfaces and print a message when an interface is added or removed using psutil and socket.

network monitoring psutil
Python
import socket
import psutil
import time

def get_network_interfaces():
    """Return a set of currently active interface names."""
    active_ifaces = set()
    for iface, addrs in psutil.net_if_addrs().items():
        for addr in addrs:
            if addr.family == socket.AF_INET:  # IPv4 address present
          …
45 0 Open
Automation & scripting medium

How to Implement a Weighted DNS Resolver with Failover in Python

Simulates a weighted DNS load balancer that distributes traffic across IPs by weight and automatically fails over when a server is marked unhealthy.

dns load-balancing failover
Python
import random
import time

class WeightedDNSResolver:
    def __init__(self, records):
        self.records = records  # list of (ip, weight)
        self.total_weight = sum(weight for _, weight in records)
        self.failed_ips = set()

    def resolve(self):
        available = [(ip, weight) for ip, weight in self…
13 0 Open

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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.