Reference library

Functions & basics

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

7 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 medium

How to Build a Subcommand Parser Tree with argparse in Python

Create a CLI with nested subcommands (like git) using argparse subparsers, where each subcommand maps to its own handler function.

argparse cli subparsers
Python
import argparse


def cmd_add(args):
    print(f"Adding {args.num1} + {args.num2} = {args.num1 + args.num2}")


def cmd_sub(args):
    print(f"Subtracting {args.num1} - {args.num2} = {args.num1 - args.num2}")


def main():
    parser = argparse.ArgumentParser(prog="calculator")
    subparsers = parser.add_subparsers(d…
12 0 Open
Functions & basics easy

How to Parse Command Line Arguments in Python with argparse

Build a CLI that accepts positional integers, an optional --sum flag, and a --verbose switch, all with Python's standard argparse library.

argparse cli command line
Python
import argparse

def main():
    parser = argparse.ArgumentParser(description='Process some integers.')
    parser.add_argument('numbers', metavar='N', type=int, nargs='+',
                        help='an integer for the accumulator')
    parser.add_argument('--sum', dest='accumulate', action='store_const',
         …
11 0 Open
Functions & basics easy

How to Print Colored Text in Python with ANSI Codes

Define a small Colors class and a colored() helper to print styled terminal text using ANSI escape codes.

ansicodes cli terminal
Python
class Colors:
    RESET = "\033[0m"
    RED = "\033[31m"
    GREEN = "\033[32m"
    YELLOW = "\033[33m"
    BLUE = "\033[34m"
    MAGENTA = "\033[35m"
    CYAN = "\033[36m"
    WHITE = "\033[37m"
    BOLD = "\033[1m"
    UNDERLINE = "\033[4m"


def colored(text, color):
    return f"{color}{text}{Colors.RESET}"


if _…
13 0 Open
Functions & basics easy

How to Read Environment Variables in Python with Default Values

Retrieve an environment variable safely using os.getenv() with a fallback default when the variable is missing.

environment-variables os configuration
Python
import os

database_url = os.getenv("DATABASE_URL", "postgresql://localhost:5432/mydb")
print(f"Database URL: {database_url}")
10 0 Open
Functions & basics easy

How to Validate CLI Integer Option Within a Range in Python

Use argparse with integer type and bounds checking to validate a command-line option falls within a specified min-max range.

argparse cli validation
Python
import argparse

def main():
    parser = argparse.ArgumentParser(description="Validate an integer within a range.")
    parser.add_argument("--value", type=int, required=True, help="Integer to validate")
    parser.add_argument("--min", type=int, default=0, help="Minimum allowed value")
    parser.add_argument("--max…
13 0 Open

Browse by section

Each section groups closely related Python snippets.

Functions & basics — Python code examples

What you will find here

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.

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.