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Python Code Samples

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

214 matches
AI & LLM integration patterns easy

How to Chunk a Long Document for RAG Retrieval in Python

Split text into overlapping chunks at sentence boundaries using a custom Python function suitable for RAG retrieval pipelines.

rag text-chunking nlp
Python
import re
from pathlib import Path

def chunk_document(text, chunk_size=500, overlap=100):
    """Split text into overlapping chunks suitable for RAG retrieval."""
    # Normalize whitespace
    text = re.sub(r'\s+', ' ', text).strip()
    
    chunks = []
    start = 0
    while start < len(text):
        end = min(s…
15 0 Open
AI & LLM integration patterns easy

How to Estimate Token Count in Python

Estimates tokens in a text string using a whitespace and punctuation heuristic without external libraries.

token-count llm heuristic
Python
def estimate_tokens(text: str) -> int:
    """Estimate token count using whitespace and punctuation heuristics."""
    if not text:
        return 0

    words = text.split()
    total_punctuation = sum(1 for char in text if char in ".,!?;:")
    special_tokens = sum(1 for char in text if char in "\n\t")

    # Rough …
13 0 Open
AI & LLM integration patterns easy

How to Redact Emails and Phones Before Sending to an LLM in Python

This code uses regular expressions to replace email addresses and US phone numbers with [EMAIL] and [PHONE] placeholders before any LLM processing.

pii redaction regular-expressions
Python
import re

def redact_pii(text: str) -> str:
    # Replace email addresses with [EMAIL]
    text = re.sub(r'[\w.+-]+@[\w-]+\.[\w.-]+', '[EMAIL]', text)
    # Replace phone numbers (US format) with [PHONE]
    text = re.sub(r'\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}', '[PHONE]', text)
    return text

if __name__ == "__main…
15 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 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…
97 0 Open
Automation & scripting easy

Check Service Ping Status and Exit Code in Python

Ping a list of hosts, print OK/FAIL per host, and exit with a non-zero code when any host is unreachable.

subprocess ping exit-code
Python
import subprocess
import sys

SERVICES = [
    "8.8.8.8",
    "1.1.1.1",
    "invalid-host",
]

def main():
    failed = []
    for host in SERVICES:
        result = subprocess.run(
            ["ping", "-c", "1", "-W", "2", host],
            stdout=subprocess.DEVNULL,
            stderr=subprocess.DEVNULL,
        …
16 0 Open
Automation & scripting easy

Create ICS Calendar Invites in Python

This script generates a batch of calendar invites in the ICS format using the ics library.

ics calendar automation
Python
import ics
from datetime import datetime, timedelta

def create_invites(batch):
    calendar = ics.Calendar()
    for event_data in batch:
        event = ics.Event()
        event.name = event_data["name"]
        event.begin = event_data["start"]
        event.end = event_data["end"]
        event.description = even…
11 0 Open
Automation & scripting medium

Detect and Remove Blurry Images in Python with OpenCV

Automatically scan a directory of images, detect blur using Laplacian variance, and remove blurry images with a dry-run option for safety.

opencv image-processing automation
Python
from pathlib import Path
import cv2
import numpy as np

def is_blurry(image_path, threshold=100.0):
    """
    Detect if an image is blurry using Laplacian variance.
    Returns True if blurry, False otherwise.
    """
    img = cv2.imread(str(image_path), cv2.IMREAD_GRAYSCALE)
    if img is None:
        return True…
49 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 easy

How to Batch Resize Images in Python with pathlib and Pillow

Batch resize all JPG images from a source folder and save to a destination folder using pathlib and Pillow.

pathlib pillow image-processing
Python
from pathlib import Path
from PIL import Image

def batch_resize_images(src_dir: str, dest_dir: str, size: tuple[int, int] = (800, 600)) -> None:
    src_path = Path(src_dir)
    dest_path = Path(dest_dir)
    dest_path.mkdir(parents=True, exist_ok=True)
    
    for img_path in src_path.glob("*.jpg"):
        if not …
12 0 Open
Automation & scripting easy

How to Build a CLI with argparse in Python

Create a beginner-friendly command-line tool in Python that processes multiple filenames with optional flags for verbose output and uppercase conversion.

argparse cli scripting
Python
import argparse

def main():
    parser = argparse.ArgumentParser(
        description="A simple CLI to process files with optional verbose mode."
    )
    parser.add_argument("filenames", nargs="+", help="Files to process")
    parser.add_argument("-v", "--verbose", action="store_true", help="Print extra details")
 …
12 0 Open
Automation & scripting easy

How to Build a Simple argparse CLI in Python

Create a beginner-friendly command-line tool with argparse that reads a file, optionally uppercases its lines, and prints a configurable number of lines.

argparse cli automation
Python
import argparse

def main():
    parser = argparse.ArgumentParser(
        description="Automate file processing with a simple CLI tool."
    )
    parser.add_argument("filename", help="Path to the input file")
    parser.add_argument("--uppercase", action="store_true", help="Convert text to uppercase")
    parser.add…
15 0 Open
Automation & scripting easy

How to Build an argparse CLI That Filters File Lines by Keyword in Python

This Python script is a command-line tool built with argparse that reads a text file and prints only the lines that contain (or don't contain) a given keyword.

argparse cli filter
Python
import argparse
import sys

def main():
    parser = argparse.ArgumentParser(description="Filter lines from a file by keyword.")
    parser.add_argument("input", type=str, help="File to read")
    parser.add_argument("keyword", type=str, help="Keyword to filter lines")
    parser.add_argument("--contains", action="sto…
14 0 Open
Automation & scripting easy

How to Decrypt a GPG File with a Passphrase in Python

Decrypt a GPG-encrypted file using a passphrase via the gpg CLI wrapped in a reusable Python function.

gpg encryption subprocess
Python
import subprocess
import tempfile
from pathlib import Path


def decrypt_gpg_file(input_file: str, passphrase: str) -> str:
    """Decrypt a GPG file using a passphrase and return the plaintext."""
    result = subprocess.run(
        ["gpg", "--batch", "--yes", "--passphrase", passphrase, "--decrypt", input_file],
  …
13 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 Recently Installed Software in Python

Uses subprocess to call pip and parse package metadata to list recently installed Python packages.

pip subprocess automation
Python
import subprocess
import sys
from datetime import datetime, timedelta

def detect_recently_installed(days=7):
    """Detect recently installed software packages."""
    recent_packages = []
    cutoff_date = datetime.now() - timedelta(days=days)
    
    try:
        # For pip-installed packages (Python packages)
    …
37 0 Open
Automation & scripting easy

How to Generate Thumbnails While Maintaining Aspect Ratio in Python

Resize images to fit within maximum dimensions while preserving the original aspect ratio using Pillow (PIL).

pillow image-processing thumbnail
Python
from PIL import Image

def thumbnail_with_aspect_ratio(image_path, output_path, max_width, max_height):
    with Image.open(image_path) as img:
        # Get original dimensions
        width, height = img.size

        # Calculate scaling ratio to fit within max dimensions
        ratio = min(max_width / width, max_h…
13 0 Open
Automation & scripting easy

How to Generate an Inventory CSV of Installed pip Packages in Python

This script uses subprocess and csv to list all installed pip packages and write their names and versions into a CSV inventory file.

pip csv subprocess
Python
import subprocess
import csv

def get_installed_packages():
    """Return a list of (name, version) tuples for installed pip packages."""
    result = subprocess.run(
        ["pip", "list", "--format=freeze"],
        capture_output=True,
        text=True,
        check=True
    )
    packages = []
    for line in r…
14 0 Open
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 FFmpeg subprocess Calls in Python

Compress a video with ffmpeg while mocking subprocess.run to test the command construction without executing the actual encoder.

subprocess mocking ffmpeg
Python
import subprocess
from unittest.mock import Mock, patch


def compress_video(input_path: str, output_path: str, crf: int = 23) -> None:
    """Compress a video using ffmpeg with a given CRF (quality) value."""
    command = [
        "ffmpeg",
        "-i", input_path,
        "-c:v", "libx264",
        "-crf", str(cr…
14 0 Open
Automation & scripting easy

How to Mock subprocess Calls in Python with unittest.mock

A Python script that wraps Vagrant up/destroy commands using subprocess, with tests that mock the subprocess call to simulate outputs and errors.

subprocess unittest.mock vagrant
Python
import subprocess
from unittest.mock import patch, Mock


def run_vagrant(action: str) -> str:
    result = subprocess.run(
        ["vagrant", action],
        capture_output=True,
        text=True,
        check=False,
    )
    return result.stdout.strip()


def vagrant_wrapper(action: str) -> str:
    if action n…
15 0 Open
Automation & scripting easy

How to Monitor Process RSS Memory in Python

Poll the VmRSS field from /proc/PID/status to watch a process's resident memory and alert on growth.

memory monitoring process
Python
import os
import time
import subprocess
import sys

def get_rss_mb(pid):
    """Return RSS memory in MB for a given process ID."""
    try:
        with open(f"/proc/{pid}/status", "r") as f:
            for line in f:
                if line.startswith("VmRSS:"):
                    return int(line.split()[1]) / 1024…
14 0 Open
Automation & scripting medium

How to Monitor USB Device Connections in Python

A Python utility that monitors USB device connections and disconnections by comparing output of the lsusb command at regular intervals.

usb monitoring subprocess
Python
import time
import subprocess
import os

def get_usb_devices():
    """Return list of currently connected USB devices (Linux)."""
    try:
        result = subprocess.run(['lsusb'], capture_output=True, text=True, check=True)
        return result.stdout.strip().split('\n')
    except (subprocess.CalledProcessError, F…
44 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

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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.