Reference library

Python Code Samples

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

306 matches
Automation & scripting easy

How to Kill Zombie Processes Matching a Name in Python

Scans running processes with ps, finds zombies whose command name matches a pattern, and attempts to kill them with SIGKILL.

subprocess process automation
Python
import subprocess
import re
import signal


def find_zombies(name_pattern):
    """Find PIDs of zombie processes matching the given pattern."""
    result = subprocess.run(["ps", "-eo", "pid,stat,comm"], capture_output=True, text=True)
    zombies = []
    for line in result.stdout.splitlines()[1:]:  # Skip header
   …
11 0 Open
Automation & scripting easy

How to Mock an Ansible Inventory in Python

Load an Ansible-style inventory JSON file into Python and simulate a playbook run across hosts and groups.

ansible inventory automation
Python
import json
from pathlib import Path


class InventoryMock:
    def __init__(self, inventory_file: str):
        self.inventory_file = Path(inventory_file)
        self.hosts = {}

    def load(self):
        if not self.inventory_file.exists():
            raise FileNotFoundError(f"Inventory file {self.inventory_file…
12 0 Open
Automation & scripting easy

How to Perform a DNS Lookup for A Records in Python

Resolve a hostname to IPv4 A records using Python's built-in socket.getaddrinfo and return a sorted list of addresses.

dns socket network
Python
import socket

def get_a_records(hostname):
    """Fetch A records (IPv4 addresses) for a given hostname."""
    try:
        # getaddrinfo with family AF_INET restricts to IPv4 (A records)
        infos = socket.getaddrinfo(hostname, None, socket.AF_INET)
        # Each info tuple: (family, type, proto, canonname, so…
13 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…
13 0 Open
Automation & scripting medium

How to Scan Open Ports on a Host with Python

A Python function that uses socket.connect_ex to check for open TCP ports on a given host within a range and returns a list of open ports.

socket network port-scanning
Python
import socket

def scan_ports(host, start_port, end_port):
    open_ports = []
    for port in range(start_port, end_port + 1):
        sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        sock.settimeout(0.5)
        result = sock.connect_ex((host, port))
        if result == 0:
            open_ports.app…
42 0 Open
Automation & scripting medium

How to Send an Email with smtplib and a Mock Server in Python

Send an email using smtplib and verify it with a local aiosmtpd mock SMTP server — perfect for testing without a real mail server.

smtplib email aiosmtpd
Python
import smtplib
from email.message import EmailMessage
import aiosmtpd.controller as controller
import threading


def handle_message(server, session, envelope):
    print(f"Mock server received message:")
    print(f"From: {envelope.mail_from}")
    print(f"To: {envelope.rcpt_tos}")
    print(f"Subject: {envelope.cont…
12 0 Open
Automation & scripting medium

How to Track GitHub Stars, Forks, and Watchers in Python

Automatically fetch and track stars, forks, and watchers for multiple GitHub repositories, saving snapshots locally as JSON files for historical analysis.

github api automation
Python
import os
import time
import json
import requests
from pathlib import Path
from datetime import datetime

REPOS = [
    "psf/requests",
    "python/cpython",
    "pallets/flask",
]
DATA_DIR = Path("github_metrics")

def fetch_repo_stats(repo):
    url = f"https://api.github.com/repos/{repo}"
    resp = requests.get(ur…
39 0 Open
Automation & scripting easy

How to Update a Hosts File to Block Distractions in Python

This script updates a local hosts file (or a demo file) by adding or updating entries to block distracting websites like Facebook and Twitter.

hosts-file automation blocking
Python
from pathlib import Path

def update_hosts(entries):
    """
    Add or update blocking entries in the hosts file.
    Uses a local demo file by default to avoid system changes.
    """
    hosts_path = Path("demo_hosts.txt")
    
    # Create demo file if it doesn't exist
    if not hosts_path.exists():
        hosts…
11 0 Open
Automation & scripting easy

How to Write an IP Block List to hosts.deny in Python

This Python script validates a list of IP addresses and CIDR ranges, then writes them to a hosts.deny file to block connections at the TCP wrapper level.

hosts.deny ip-block ipaddress
Python
from ipaddress import ip_network

def write_hosts_deny(ip_list, output_file="hosts.deny"):
    with open(output_file, "w") as f:
        for ip in ip_list:
            try:
                ip_network(ip)
                f.write(f"ALL: {ip}\n")
            except ValueError:
                continue
    print(f"Written…
14 0 Open
Automation & scripting easy

How to automatically organize your Downloads folder by file type in Python

This script scans the Downloads folder and moves files into sub-folders based on their extensions (e.g., Images, Documents, Videos).

file organization automation os
Python
import os
import shutil
from pathlib import Path

def organize_downloads_folder(downloads_path=None):
    if downloads_path is None:
        downloads_path = str(Path.home() / "Downloads")
    
    if not os.path.exists(downloads_path):
        print(f"Path {downloads_path} does not exist.")
        return
    
    fi…
40 0 Open
Automation & scripting easy

Parse nginx access log top IPs in Python

Reads an nginx access log line by line, extracts the client IP, and returns the most frequent IPs using a regex and Counter.

nginx log parsing regex
Python
import re
from collections import Counter

def top_ips(log_file, n=10):
    ip_pattern = re.compile(r'^(\S+)')
    ip_counts = Counter()

    with open(log_file, 'r') as f:
        for line in f:
            match = ip_pattern.match(line)
            if match:
                ip_counts[match.group(1)] += 1

    return…
14 0 Open
Automation & scripting easy

Port Scan Localhost Common Ports in Python

Scan common localhost ports (HTTP, HTTPS, SSH, FTP, and more) with a fast socket-based Python script that prints an open/closed status table.

socket port-scanning network
Python
import socket
from datetime import datetime

COMMON_PORTS = {
    80: "HTTP", 
    443: "HTTPS", 
    22: "SSH", 
    21: "FTP", 
    25: "SMTP",
    3306: "MySQL",
    5432: "PostgreSQL"
}

def scan_port(port):
    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    sock.settimeout(0.1)
    try:
        resu…
13 0 Open
Automation & scripting easy

Post a message to a Slack webhook in Python

Send a message to a Slack webhook endpoint using the standard library's urllib.request, handling the POST request and response cleanly.

slack webhook urllib
Python
import json
from urllib import request

def post_to_slack(webhook_url: str, message: str) -> dict:
    payload = json.dumps({"text": message}).encode("utf-8")
    req = request.Request(
        webhook_url,
        data=payload,
        headers={"Content-Type": "application/json"},
        method="POST",
    )
    wit…
11 0 Open
Automation & scripting easy

Restore sqlite from latest backup file in Python

This script finds the most recently modified backup file in a directory and restores it to the main database path, then verifies the restored data.

sqlite backup file-io
Python
import sqlite3
import glob
import os
import shutil

def restore_latest_backup(db_path, backup_dir):
    backups = sorted(glob.glob(os.path.join(backup_dir, "*.db")), key=os.path.getmtime)
    if not backups:
        raise FileNotFoundError("No backup files found")
    latest = backups[-1]
    shutil.copy2(latest, db_p…
14 0 Open
Automation & scripting easy

Stress CPU Threads with a Mock Compute in Python

Simulates CPU-intensive work across multiple threads to test how Python schedules parallel compute.

threading cpu-stress parallelism
Python
import threading
import time


def stress_cpu(iterations: int):
    result = 0
    for i in range(iterations):
        result += i * i % 1000
    return result


def run_mock_stress(thread_count: int, iterations: int):
    threads = []
    for tid in range(thread_count):
        t = threading.Thread(target=lambda: str…
12 0 Open
Automation & scripting medium

Track Internet Connectivity and Downtime Automatically in Python

Monitors internet connectivity by pinging a remote host and logs any downtime events with timestamps and duration.

internet connectivity monitoring
Python
import time
import subprocess
from datetime import datetime

def check_internet(host="8.8.8.8", timeout=3):
    """Returns True if internet is reachable via ping."""
    try:
        subprocess.run(
            ["ping", "-c", "1", "-W", str(timeout), host],
            capture_output=True,
            timeout=timeout …
40 0 Open
Data pipelines & processing medium

Build a Python Utility That Detects Duplicate Records Across Multiple Excel Sheets

A Python utility that uses pandas to find overlapping records across different Excel sheets based on specified key columns.

pandas excel data cleaning
Python
import pandas as pd
from pathlib import Path

def find_duplicate_records_across_sheets(file_path: str, key_columns: list, sheet_names: list) -> dict:
    """
    Detect duplicate records across multiple Excel sheets based on specified key columns.
    
    Args:
        file_path: Path to the Excel file
        key_co…
47 0 Open
Data pipelines & processing easy

Fan Out Records to Multiple Sinks in Python

Distribute the same records across multiple target sinks (database, API, queue, etc.) using a defaultdict-based fan-out pattern.

fan-out defaultdict records
Python
import json
from collections import defaultdict

SINKS = ["database", "api", "message_queue", "data_lake", "monitoring"]

def fan_out(records, *sinks):
    dist = defaultdict(list)
    for record in records:
        for sink in sinks:
            dist[sink].append(record)
    return dict(dist)

if __name__ == "__main_…
13 0 Open
Data pipelines & processing medium

How to Find Missing Values in Large Datasets in Python

Analyze missing values across multiple large pandas DataFrames with counts and percentages.

pandas missing-data data-cleaning
Python
import pandas as pd
import numpy as np

def find_missing_values_summary(datasets):
    """Analyze missing values across multiple datasets (dict of name: DataFrame)."""
    summary = {}
    for name, df in datasets.items():
        missing_count = df.isnull().sum()
        total_rows = len(df)
        missing_pct = (mi…
43 0 Open
Data pipelines & processing medium

How to Implement Slowly Changing Dimension Type 2 History in Python

Build a type-2 slowly changing dimension pipeline that closes old records and opens new ones when customer data changes.

scd dimension history
Python
from datetime import datetime, timedelta

def apply_scd_type2(records, current_date):
    """Returns active records after inserting new records with type-2 history."""
    history = []
    active = {}

    for record in records:
        key = record["customer_id"]
        if key in active:
            active[key]["end…
13 0 Open
Data pipelines & processing easy

How to Implement a Sliding Window Average in Python

Compute the average of the most recent N values in a stream using a bounded deque, efficiently updating the total as new values arrive.

deque sliding-window streaming
Python
from collections import deque


class SlidingWindowAverage:
    def __init__(self, window_size):
        self.window_size = window_size
        self.window = deque(maxlen=window_size)
        self.total = 0

    def add(self, value):
        if len(self.window) == self.window_size:
            self.total -= self.windo…
15 0 Open
Data pipelines & processing easy

How to Validate Data in a Python Pipeline

A helper module to validate common record types — email, positive integer, and non-empty string list — before processing data in a pipeline.

data-validation pipelines type-checking
Python
from typing import Any, Iterable


def is_valid_email(email: str) -> bool:
    """Basic email check: one '@', no spaces, dot after '@'."""
    if "@" not in email or " " in email:
        return False
    local, _, domain = email.partition("@")
    return bool(local) and "." in domain


def is_positive_int(value: Any)…
12 0 Open
Data pipelines & processing medium

Map Partition Over Chunks in Python with Multiprocessing and Mock

Process data in chunks across multiple CPU cores using multiprocessing Pool.map, and mock the chunk function to test partitioning behavior without heavy computation.

multiprocessing chunking parallel
Python
from multiprocessing import Pool
from unittest.mock import patch, Mock

def process_chunk(chunk):
    return [x * x for x in chunk]

def map_partition_over_chunks(data, chunk_size, process_func=process_chunk):
    chunks = [data[i:i + chunk_size] for i in range(0, len(data), chunk_size)]
    with Pool() as pool:
     …
12 0 Open
Data pipelines & processing easy

Pipeline stage compose functions left to right in Python

Compose multiple functions into a left-to-right pipeline so each stage receives the output of the previous one.

composition pipeline functional
Python
def compose(*funcs):
    """Compose functions left to right: compose(f, g, h)(x) == h(g(f(x)))"""
    def composed(arg):
        result = arg
        for func in funcs:
            result = func(result)
        return result
    return composed

if __name__ == "__main__":
    def add_one(x):
        return x + 1

    …
16 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.