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Functions & basics

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

3 matches
Functions & basics easy

Add Type Hints to Function Parameters and Return in Python

Add type hints to function parameters and return values in Python for clearer, more maintainable code using the typing module.

type-hints typing annotations
Python
from typing import List, Optional, Dict


def average(numbers: List[float]) -> float:
    return sum(numbers) / len(numbers)


def full_name(first: str, last: Optional[str] = "") -> str:
    return f"{first} {last}".strip()


def build_user(name: str, age: int, email: Optional[str] = None) -> Dict[str, object]:
    us…
15 0 Open
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 Write a Normalize Function with Default Parameters in Python

Define a reusable normalize function with configurable default parameters for lowercase conversion, whitespace stripping, and punctuation removal.

functions default-parameters string-processing
Python
def normalize(text, lowercase=True, strip_whitespace=True, remove_punctuation=False):
    """Normalize a string based on configurable options."""
    if lowercase:
        text = text.lower()
    if strip_whitespace:
        text = text.strip()
    if remove_punctuation:
        text = ''.join(char for char in text if…
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.

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.