Reference library

Python Code Samples

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

227 matches
Automation & scripting medium

Find and Delete Duplicate Files Using Hashing in Python

Walk a directory tree, compute SHA256 hashes for every file, and delete duplicates that share the same hash.

deduplication files hashing
Python
import hashlib
import os
from pathlib import Path

def file_hash(path, block_size=65536):
    """Return SHA256 hash of file content."""
    hasher = hashlib.sha256()
    with open(path, 'rb') as f:
        while chunk := f.read(block_size):
            hasher.update(chunk)
    return hasher.hexdigest()

def find_and_d…
51 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 Python CLI with argparse

Create a friendly command-line greeting tool with argparse that accepts a positional name and optional flags for custom greetings and uppercase output.

argparse cli command-line
Python
import argparse

def greet(name, greeting="Hello", uppercase=False):
    message = f"{greeting}, {name}!"
    return message.upper() if uppercase else message

if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        description="A simple greeting tool to demonstrate argparse basics."
    )
    parser.…
12 0 Open
Automation & scripting easy

How to Build a Simple argparse CLI in Python

Build a beginner-friendly command-line tool with argparse that greets a user, with optional greeting text and uppercase output.

argparse cli command-line
Python
import argparse

def greet(name, greeting="Hello", uppercase=False):
    message = f"{greeting}, {name}!"
    if uppercase:
        message = message.upper()
    return message

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Simple CLI greeting tool")
    parser.add_argument("name", help=…
13 0 Open
Automation & scripting easy

How to Build an argparse Command-Line Tool in Python

Create a simple file-info CLI with argparse that counts lines and prints file size, with optional verbose and output flags.

argparse cli command-line
Python
import argparse
import os
from pathlib import Path


def process_file(filepath, verbose=False):
    """Read a file and report its size and line count."""
    path = Path(filepath)
    if not path.exists():
        raise FileNotFoundError(f"File not found: {filepath}")

    content = path.read_text()
    lines = conten…
14 0 Open
Automation & scripting easy

How to Create a Mock Headless Browser Screenshot Stub in Python

This code provides a deterministic stub that simulates capturing webpage screenshots with a headless browser, returning formatted output without real browser dependencies.

mock headless screenshot
Python
import subprocess
import sys

def mock_screenshot_webpage(url: str, width: int = 1280, height: int = 800) -> str:
    """Stub that simulates taking a screenshot of a webpage using headless browser."""
    # In real implementation, you would use playwright/selenium/headless chrome
    result = {
        "url": url,
   …
13 0 Open
Automation & scripting easy

How to Mock a Whisper API Transcription Stub in Python

Simulate an OpenAI Whisper-style transcription response with a dataclass request model and a mock function that returns structured audio transcription output.

mock whisper api-stub
Python
import json
from dataclasses import dataclass
from typing import Optional

@dataclass
class AudioRequest:
    file_path: str
    language: Optional[str] = None

    def to_api_payload(self) -> dict:
        return {"file": self.file_path, "language": self.language}

def mock_whisper_transcribe(payload: dict) -> dict:
…
15 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 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 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…
50 0 Open
Automation & scripting easy

How to Parse Terraform Plan Output in Python

Parse mock Terraform plan output text into structured add, change, and destroy lists using Python.

terraform parsing automation
Python
import json
from typing import Dict, List

def parse_terraform_plan_output(plan_output_text: str) -> Dict[str, List[str]]:
    """
    Parses a mock Terraform plan output text into a structured dictionary.
    """
    parsed: Dict[str, List[str]] = {"add": [], "change": [], "destroy": []}

    for line in plan_output_…
11 0 Open
Automation & scripting easy

How to Watch a Folder and Convert New Images in Python

Watch a folder for new files and mock-convert images by copying and renaming them in an output directory.

folder-watching automation pathlib
Python
import time
import hashlib
from pathlib import Path
from datetime import datetime

def mock_convert_image(source: Path, dest_dir: Path) -> Path:
    """Mock image conversion: copy bytes and add .converted suffix."""
    dest = dest_dir / f"{source.stem}.converted{source.suffix}"
    dest.write_bytes(source.read_bytes(…
12 0 Open
Automation & scripting easy

Mock Certbot Renewal in Python for Testing

Simulates a Let's Encrypt certificate renewal by writing a mock certificate file and printing realistic certbot CLI output, without calling the actual certbot.

certbot letsencrypt automation
Python
import subprocess
import sys
from datetime import datetime, timedelta
from pathlib import Path


def renew_cert(domain: str, output_dir: str = "certs") -> str:
    """Simulate a Let's Encrypt renewal with mock certbot output."""
    out = Path(output_dir)
    out.mkdir(parents=True, exist_ok=True)

    cert_path = out…
16 0 Open
Automation & scripting easy

Parse WHOIS Data with Python Regex

Extract domain registration fields from a mock WHOIS record using regex and compute days until expiration.

whois regex parsing
Python
import re
from datetime import datetime


def parse_whois(whois_text: str) -> dict:
    """Extract key registration fields from a mock WHOIS record."""
    patterns = {
        "domain": r"Domain Name:\s*(.+)",
        "registrar": r"Registrar:\s*(.+)",
        "creation_date": r"Creation Date:\s*(.+)",
        "expir…
12 0 Open
Automation & scripting easy

Parse cron expression and compute next run datetime in Python

Parse a 5-field cron expression and compute the next matching datetime starting from a given base time.

cron datetime scheduling
Python
from datetime import datetime, timedelta
import re

def parse_cron_and_next_run(cron_expr, base_time=None):
    """Parse a cron expression and compute the next run time."""
    if base_time is None:
        base_time = datetime.now().replace(second=0, microsecond=0)

    fields = cron_expr.split()
    if len(fields) !…
11 0 Open
Automation & scripting easy

Resize Disk Partitions in Python (Mock Script)

A mock disk partition resize script that uses dataclasses to model partitions, validate new sizes, and output the updated layout as JSON.

disk partition dataclass
Python
#!/usr/bin/env python3
"""Mock script to demonstrate disk partition resize logic."""
import json
from dataclasses import dataclass
from typing import Dict


@dataclass
class Partition:
    name: str
    size_gb: int
    mount_point: str

    def to_dict(self) -> Dict[str, object]:
        return {
            "name": …
16 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
Data pipelines & processing easy

How to Compress Pipeline Output Gzip Per Partition in Python

Compress each partition of pipeline output into a separate gzip file and verify the compressed data by reading it back.

gzip compression pipeline
Python
import gzip
import io
import random
from pathlib import Path


def compress_partition(partition_data: list[str], output_path: Path) -> int:
    """Compress a partition of data to a gzip file, returns bytes written."""
    with gzip.open(output_path, 'wt', encoding='utf-8') as f:
        f.writelines(partition_data)
  …
13 0 Open
Data pipelines & processing easy

How to Convert Data Types in a Python Data Pipeline

Demonstrates a simple Python data pipeline that converts string values to proper types (bool, int, float, datetime) and outputs structured JSON.

data-pipeline type-conversion json
Python
import json
from datetime import datetime

def convert_value(value):
    """Convert string values to appropriate Python types."""
    if value.lower() == "true":
        return True
    if value.lower() == "false":
        return False
    if value.isdigit():
        return int(value)
    try:
        return float(val…
12 0 Open
Data pipelines & processing easy

How to Group Data by Key in Python

Group a list of dictionaries by a specified key using a defaultdict and compute per-group averages.

grouping defaultdict data-pipelines
Python
from collections import defaultdict

def group_by_key(data, key):
    grouped = defaultdict(list)
    for item in data:
        grouped[item[key]].append(item)
    return dict(grouped)

if __name__ == "__main__":
    records = [
        {"name": "Alice", "dept": "Engineering", "score": 85},
        {"name": "Bob", "de…
16 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 Partition Output Files by Date Key in Python

Group output files into a dictionary partitioned by a YYYYMMDD date key extracted from the filename prefix.

file-partitioning date-key pathlib
Python
from pathlib import Path
from collections import defaultdict

def partition_files_by_date(directory: str) -> dict:
    """Partition output files by date key extracted from filename (YYYYMMDD prefix)."""
    path = Path(directory)
    partitions = defaultdict(list)
    
    for file in path.iterdir():
        if file.i…
14 0 Open
Data pipelines & processing medium

How to Topologically Sort a DAG in Python

Compute a valid execution order for tasks with dependencies using Kahn's algorithm in Python.

dag topological-sort graph
Python
from collections import defaultdict, deque


def topological_order(dependencies):
    graph = defaultdict(list)
    in_degree = defaultdict(int)
    tasks = set(dependencies.keys())

    for task, depends_on in dependencies.items():
        for d in depends_on:
            graph[d].append(task)
            in_degree[t…
11 0 Open
Data pipelines & processing easy

How to route late-arriving data to a side output in Python

Separate late-arriving events from a streaming data batch into a dead-letter side output list using a timestamp threshold.

data pipelines streaming dead-letter
Python
from collections import defaultdict

def late_arriving_side_output(events, late_threshold_ts):
    """
    Mock a streaming pipeline that separates late-arriving data events
    into a side output list (e.g., for dead-letter analysis).

    events: list of (timestamp, data) tuples, timestamps as ints.
    late_thresho…
12 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.