Reference library

Functions & basics

Reusable building blocks — parameters, returns, scope, and clear function design.

3 matches
Functions & basics easy

Format CLI help text in Python

Build a readable usage string for a command-line tool, aligning flags and wrapping descriptions with the textwrap module.

cli textwrap formatting
Python
import textwrap


def format_help(command_name: str, description: str, options: list[tuple[str, str]]) -> str:
    """Format CLI help text into a readable usage string."""
    header = f"Usage: {command_name} [OPTIONS]"
    lines = [header, "", description, "", "Options:"]

    for flag, help_text in options:
        …
12 0 Open
Functions & basics easy

How to Add a Dry Run Flag to a Python CLI Command

Build a Python CLI command with a --dry-run flag that previews actions and exits before making real changes.

argparse cli dry-run
Python
import argparse
import sys

def main():
    parser = argparse.ArgumentParser(description="Sample CLI command with dry-run flag")
    parser.add_argument("--name", required=True, help="Name to greet")
    parser.add_argument("--dry-run", action="store_true", dest="dry_run",
                        help="Show what would…
11 0 Open
Functions & basics easy

How to Use the if __name__ == '__main__' Guard in Python

This code defines reusable functions and uses the standard main guard to run them only when the script is executed directly, not when imported.

main guard __main__ script entry point
Python
def greet(name: str) -> str:
    """Return a friendly greeting."""
    return f"Hello, {name}!"

def get_planet() -> str:
    """Return the name of our planet."""
    return "Earth"

if __name__ == "__main__":
    user = "Dorothy"
    print(greet(user))
    print(f"We live on {get_planet()}.")
13 0 Open

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Functions & basics — Python code examples

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This page collects functions & basics snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

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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.