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Python Code Samples

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

213 matches
Automation & scripting easy

How to Parse CLI Arguments in Python with argparse

Build a beginner-friendly CLI with argparse that accepts optional --name, --greeting, and --uppercase flags, then prints a customizable greeting.

argparse cli command-line
Python
import argparse

def main():
    parser = argparse.ArgumentParser(description="Greet a user with optional customization.")
    parser.add_argument("--name", default="world", help="Name to greet")
    parser.add_argument("--greeting", default="Hello", help="Greeting word")
    parser.add_argument("--uppercase", action=…
14 0 Open
Automation & scripting easy

How to Sort Command-Line Arguments in Python

Build a beginner-friendly argparse CLI that sorts numbers or words passed as arguments, with an optional reverse flag.

argparse cli sorting
Python
import argparse


def main():
    parser = argparse.ArgumentParser(description="Sort numbers or words from the command line.")
    parser.add_argument("items", nargs="+", help="Items to sort (numbers or words)")
    parser.add_argument("--reverse", "-r", action="store_true", help="Sort in descending order")
    args =…
13 0 Open
Automation & scripting easy

How to validate argparse CLI commands in Python

Build a beginner-friendly command-line argument parser with argparse, including required and optional arguments, plus simple validation for age.

argparse cli validation
Python
import argparse


def main():
    parser = argparse.ArgumentParser(description="Validate CLI arguments for beginners.")
    parser.add_argument("name", type=str, help="Your name.")
    parser.add_argument("--age", type=int, default=None, help="Your age (optional).")
    parser.add_argument("--verbose", action="store_t…
13 0 Open
Data pipelines & processing easy

Create Data Helper Functions in Python for Beginners

Build reusable Python helper functions to load, filter, sort, summarize, and save JSON data — a beginner-friendly starting point for small data pipelines.

json pipeline helpers
Python
import json
from pathlib import Path
from typing import Any, Dict, List


def load_json_file(filepath: str) -> Dict[str, Any]:
    """Load JSON data from a file."""
    with Path(filepath).open("r", encoding="utf-8") as file:
        return json.load(file)


def filter_by_key(
    data: List[Dict[str, Any]], key: str,…
15 0 Open
Data pipelines & processing easy

ETL in Python: Extract CSV, Transform Dict, Load JSON

Build a simple ETL pipeline in Python that reads a CSV file, transforms each row (stripping whitespace and converting numeric fields), and writes the result to JSON.

etl csv json
Python
import csv
import json
from pathlib import Path

def extract_csv(file_path):
    """Read CSV file and return list of row dictionaries."""
    with Path(file_path).open('r', newline='', encoding='utf-8') as f:
        reader = csv.DictReader(f)
        return list(reader)

def transform_dicts(rows):
    """Transform ro…
14 0 Open
Data pipelines & processing easy

ETL in Python: Extract CSV, Transform Dicts, Load JSON

Build a simple ETL pipeline that reads a CSV, normalizes keys and converts price to float, then writes structured JSON.

etl csv json
Python
import csv
import json
from pathlib import Path

def etl_csv_to_json(csv_path: str, json_path: str) -> None:
    """Extract CSV, transform rows to dicts, load to JSON."""
    with open(csv_path, mode='r', newline='', encoding='utf-8') as f:
        reader = csv.DictReader(f)
        records = list(reader)

    # Trans…
12 0 Open
Data pipelines & processing easy

How to Build Data Processing Functions in Python

Create reusable helper functions to load, filter, transform, and aggregate CSV data in Python.

csv pipeline etl
Python
import csv
from pathlib import Path


def load_data(filepath):
    """Load CSV data into a list of dicts."""
    with open(filepath, "r", newline="", encoding="utf-8") as f:
        return list(csv.DictReader(f))


def filter_rows(rows, column, value):
    """Keep rows where column equals value."""
    return [row for…
12 0 Open
Data pipelines & processing easy

How to Build a Simple Data Pipeline in Python

A beginner-friendly data pipeline that loads JSON, filters records by a field value, and aggregates counts per category.

pipeline json aggregation
Python
import json
from pathlib import Path


def load_json(filepath: str | Path) -> list[dict]:
    """Load a JSON file containing a list of records."""
    with Path(filepath).open("r", encoding="utf-8") as f:
        return json.load(f)


def filter_records(records: list[dict], field: str, value) -> list[dict]:
    """Kee…
11 0 Open
Data pipelines & processing easy

How to Process CSV Data in Python with a Data Helper

Build a beginner-friendly data helper in Python that loads a CSV file, filters rows by a condition, and summarizes numeric fields.

csv data-processing pathlib
Python
import csv
from pathlib import Path

DATA = [
    {"name": "Alice", "score": 88, "passed": True},
    {"name": "Bob", "score": 42, "passed": False},
    {"name": "Carol", "score": 95, "passed": True},
]


def load_csv(file_path: Path) -> list[dict]:
    with file_path.open(newline="", encoding="utf-8") as f:
        r…
13 0 Open
Git + Python easy

Build a Simple Log Graph in Python

Create a basic one-dimensional bar chart from log lines by counting occurrences of leading numeric keys.

logging visualization graph
Python
import heapq


def log_graph(log_lines: list[str]) -> str:
    """Build a simple per-line, one-dimensional visual graph from log entries."""
    counts: dict[int, int] = {}
    for line in log_lines:
        tokens = line.split()
        if tokens:
            try:
                idx = int(tokens[0])
            exce…
17 0 Open
Git + Python easy

Create a Mock GitHub Release API in Python for Testing gh CLI

Build an in-memory GitHub Releases API mock that mimics create_release and list_releases for unit testing gh CLI stubs without network calls.

mock-api github testing
Python
import json
from unittest.mock import patch, Mock

class GitHubReleaseAPI:
    """Mock GitHub Releases API for testing gh CLI stub behavior."""
    
    def __init__(self):
        self.releases = {}
        self.counter = 1
    
    def create_release(self, repo, tag, name=None, notes=None):
        release_id = self…
17 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,…
13 0 Open
Git + Python easy

How to Generate Git LFS Extension Patterns in Python

This script builds mock Git LFS file patterns for common geospatial extensions and filters them based on compression suffixes.

git lfs geospatial
Python
import itertools
import re

LFS_EXTENSIONS = {".csv", ".geojson", ".tif", ".shp", ".gpkg"}

def build_mock_lfs_pattern(base_name="data_usgs_lidar"):
    patterns = []
    for ext in sorted(LFS_EXTENSIONS):
        for variant in (("", ".lz4"), (".compressed",), (".b", ".a"), ("_v1", ".zip")):
            full_pattern …
13 0 Open
Cloud + Python easy

Create a Cloud Storage Helper Class in Python

Build a simple local file-based helper class that mimics cloud storage operations like save, load, and list JSON objects.

cloud-storage json file-io
Python
import datetime
import json
from pathlib import Path


class CloudDataHelper:
    """Simple helper for reading/writing JSON files in a cloud-style folder."""

    def __init__(self, base_dir: str = "cloud_storage"):
        self.base_dir = Path(base_dir)
        self.base_dir.mkdir(exist_ok=True)

    def save_json(se…
17 0 Open
Cloud + Python easy

How to Build a Budget Alert Threshold with Mock Notifications in Python

This code calculates budget usage percentage and triggers a mock alert notification when the usage exceeds a defined threshold.

budget alert threshold
Python
budget = 500.0
spent = 620.0
alert_threshold = 0.8

def mock_notify(percent_used):
    if percent_used >= alert_threshold:
        return f"ALERT: Budget usage at {percent_used * 100:.1f}% — over {alert_threshold * 100:.0f}% threshold!"
    return f"OK: Budget usage at {percent_used * 100:.1f}% — under threshold."

pe…
14 0 Open
Cloud + Python easy

How to Build a Multi-Cloud Config Loader with Provider Switching in Python

Load cloud provider configurations (AWS, Azure, GCP) from JSON files using a provider dispatch pattern in Python.

cloud config json
Python
import json
from pathlib import Path
from dataclasses import dataclass
from typing import Dict, Any


@dataclass
class CloudConfig:
    provider: str
    region: str
    settings: Dict[str, Any]


class ConfigLoader:
    def __init__(self, config_dir: str = "configs"):
        self.config_dir = Path(config_dir)
      …
13 0 Open
Cloud + Python easy

How to Create a Mock STS AssumeRole Credentials Dict in Python

Build a realistic AWS STS AssumeRole response dict with temporary credentials, expiry time, and assumed role ARN for local testing.

aws sts mocking
Python
import json
from datetime import datetime, timedelta, timezone


def mock_sts_credentials(role_arn, session_name, duration=3600):
    now = datetime.now(timezone.utc)
    expiration = now + timedelta(seconds=duration)

    credentials = {
        "Credentials": {
            "AccessKeyId": "ASIAEXAMPLEACCESSKEY",
    …
14 0 Open
Cloud + Python easy

How to Enforce Tag Policies on AWS Resources in Python

Build a reusable Python class that checks AWS resources against a required-tag policy and reports compliance with missing tags.

aws tagging compliance
Python
import json
from dataclasses import dataclass, field
from typing import Dict, List


@dataclass
class Resource:
    arn: str
    tags: Dict[str, str] = field(default_factory=dict)


class TagPolicyEnforcer:
    def __init__(self, required_tags: List[str]):
        self.required_tags = set(required_tags)

    def enfor…
15 0 Open
Cloud + Python easy

How to Mock CloudFront Invalidation Paths in Python

Build a sorted, deduplicated list of CloudFront invalidation paths from a set of file paths, adding implicit index.html entries.

cloudfront aws cli
Python
import argparse

def build_invalidation_paths(files, include_index=True):
    """
    Create CloudFront invalidation paths from a list of files.
    Converts file names to root-relative paths and optionally adds /index.html.
    """
    paths = []
    for f in files:
        f = f.strip()
        if not f:
           …
16 0 Open
Cloud + Python easy

Mock ECS Task Run Stop Status Dict in Python

Build a mock ECS task status dictionary with RUNNING/STOPPED states using the standard library.

aws ecs mocking
Python
from datetime import datetime, timezone


def mock_ecs_task_status(task_id: str, state: str = "RUNNING") -> dict:
    """Return a mock ECS task status dictionary."""
    return {
        "taskArn": f"arn:aws:ecs:us-east-1:123456789012:task/cluster/{task_id}",
        "taskDefinition": "arn:aws:ecs:us-east-1:1234567890…
15 0 Open
Modern tooling easy

Build a Recipe Runner Mock in Python

A Python script that mocks a command runner recipe system: maps recipe names to shell commands, executes them with subprocess, and prints the output and exit code.

subprocess command-runner recipes
Python
import subprocess
import sys


def run_recipe(recipe: str) -> None:
    """Simulate a command runner recipe by printing the command and exit code."""
    print(f"Running recipe: {recipe}")
    result = subprocess.run(recipe, shell=True, capture_output=True, text=True)
    print(f"Exit code: {result.returncode}")
    i…
15 0 Open
Modern tooling easy

Build a Textual TUI App Skeleton in Python

Create a minimal Textual terminal UI app with a header, label, button, and footer, ready for interactive mock demonstrations.

textual tui terminal
Python
from textual.app import App, ComposeResult
from textual.widgets import Header, Footer, Button, Label

class MockApp(App):
    """A minimal Textual TUI app skeleton."""

    BINDINGS = [("q", "quit", "Quit")]

    def compose(self) -> ComposeResult:
        """Create child widgets."""
        yield Header()
        yie…
16 0 Open
Modern tooling easy

How to Build a Chainable Filter Helper in Python

A beginner-friendly dataclass helper that chains filters, uniqueness, and slicing on any sequence, returning a plain list at the end.

dataclass chaining filter
Python
from dataclasses import dataclass
from typing import Callable, Iterator, Sequence, TypeVar

T = TypeVar("T")


@dataclass
class FilterAssistant:
    """Beginner-friendly helper to filter any collection."""

    data: Sequence[T]

    def where(self, predicate: Callable[[T], bool]) -> "FilterAssistant":
        return …
15 0 Open
Modern tooling easy

How to Build a Wheel with Hatchling in Python

Build a Python wheel using the hatchling build backend and the build package, handling missing project metadata automatically.

hatchling wheel packaging
Python
import subprocess
import sys
import tempfile
from pathlib import Path


def build_wheel_with_hatchling(project_dir: str) -> str:
    """Build a wheel using hatchling and return the wheel file path."""
    project_path = Path(project_dir)

    # Simulate a minimal project structure if missing
    if not (project_path /…
14 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

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  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.