Reference library

Python Code Samples

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

81 matches
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")
 …
11 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.…
11 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…
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…
42 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

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
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…
11 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 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
Data pipelines & processing easy

How to shard output by primary key hash mod N in Python

This code computes a consistent shard index for any primary key string using an MD5 hash mod the number of shards, enabling stable key-based data distribution.

hashing sharding hashlib
Python
import hashlib

def shard_id(primary_key: str, num_shards: int) -> int:
    """Return the shard index for a primary key using MD5 hash mod N."""
    digest = hashlib.md5(primary_key.encode("utf-8")).hexdigest()
    hash_int = int(digest, 16)
    return hash_int % num_shards

if __name__ == "__main__":
    keys = ["use…
11 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
Git + Python easy

Count Unique Contributors from Git Shortlog in Python

Parses git shortlog -sn output to count the number of unique contributors, handling duplicate entries and variable whitespace.

git parsing collections
Python
import subprocess
from collections import Counter

# Mock shortlog output as a list of lines (simulating git shortlog -sn output)
MOCK_SHORTLOG = """  120  Alice Johnson
   88  Bob Smith
   45  Alice Johnson
   30  Carol Williams
   25  Bob Smith
   10  Dave Brown
"""

def count_contributors_from_shortlog(text):
    "…
13 0 Open
Git + Python easy

How to Build a Git Helper Class in Python

A beginner-friendly GitHelper class that wraps common git commands (status, log, branch) into reusable Python methods with structured output.

git subprocess automation
Python
import subprocess
import json
from pathlib import Path


class GitHelper:
    def __init__(self, repo_path="."):
        self.repo = Path(repo_path)

    def run(self, *args):
        result = subprocess.run(
            ["git", *args],
            cwd=self.repo,
            capture_output=True,
            text=True,…
12 0 Open
Git + Python medium

How to Make a Git Commit Heatmap by Hour in Python

Parse a git log output and count commits by weekday and hour, then print a compact heatmap table.

git logging datetime
Python
import re
from collections import Counter
from datetime import datetime

def parse_commits(log_text):
    """Parse git log lines and count commits by (weekday, hour)."""
    pattern = re.compile(r"^Date:\s+(.+)$")
    counts = Counter()
    
    for line in log_text.splitlines():
        match = pattern.match(line)
  …
13 0 Open
Git + Python easy

How to Mock Git Clean Dry Run in Python

Simulate the output of `git clean -n` in Python to preview which untracked files would be removed without actually deleting them.

git clean dry-run
Python
import subprocess
import sys

def mock_git_clean_dry_run(untracked_files):
    """Simulate `git clean -n` for a given list of untracked files."""
    if not untracked_files:
        print("No untracked files to remove.")
        return

    print("Would remove:")
    for file in untracked_files:
        print(f"  {fil…
14 0 Open
Git + Python easy

How to Parse git status --porcelain Output in Python

This code runs `git status --porcelain` and parses its output into a list of dictionaries with file paths and status descriptions.

git subprocess parsing
Python
import subprocess

def parse_git_status_porcelain():
    try:
        output = subprocess.check_output(
            ["git", "status", "--porcelain"], 
            text=True, 
            stderr=subprocess.DEVNULL
        )
    except (subprocess.CalledProcessError, FileNotFoundError):
        return []

    entries = …
14 0 Open
Git + Python easy

How to Run Git Commands from Python with subprocess

This helper runs `git status --short` and `git log --oneline` from Python, captures their output, and returns readable strings with error handling for non-repo directories.

git subprocess automation
Python
import subprocess


def git_status():
    """Return a short, human-readable git status."""
    try:
        output = subprocess.run(
            ["git", "status", "--short"],
            capture_output=True,
            text=True,
            check=True,
        ).stdout.strip()
        return output if output else "W…
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.