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Functions & basics

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

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How to Create Generator Functions with yield in Python

Create a memory-efficient generator function using yield to produce a Fibonacci sequence up to a limit.

def fibonacci_sequence(limit):
    """Generate Fibonacci numbers up to a given limit."""
    a, b = 0, 1
    while a <= limit:
        yield a
        a, b = b, a + b


if __name__ == "__main__":
    fib_gen = fibonacci_sequence(100)
    
    for number in fib_gen:
        print(number, end=" ")
    print()

11 0 Open

Functions & basics medium

How to Implement a Trampoline for Tail Recursion in Python

This code implements a trampoline decorator that converts tail-recursive functions into iterative loops, allowing deep recursion without hitting Python's recursion limit.

trampoline tail-recursion decorator

Python

def trampoline(fn):
    """Convert a tail-recursive function into an iterative loop."""
    def wrapper(*args, **kwargs):
        result = fn(*args, **kwargs)
        while callable(result):
            result = result()
        return result
    return wrapper

@trampoline
def factorial(n, acc=1):
    """Tail-recursi…

11 0 Open

Functions & basics easy

How to Use Default Parameters with Python's Split Function

Create a reusable Python wrapper around str.split with sensible default parameters for delimiter and maxsplit, showing beginners how default arguments work.

strings default-parameters functions

Python

def split_with_defaults(text, delimiter=" ", maxsplit=-1):
    """
    Split a string into parts using a delimiter.
    Default behavior: split on spaces, unlimited splits.
    """
    parts = text.split(delimiter, maxsplit)
    return parts


if __name__ == "__main__":
    # Example usage with defaults and custom par…

14 0 Open

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