Reference library

Functions & basics

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

5 matches

Chain Generators with yield from in Python

Combine multiple generators into one seamless sequence using the `yield from` delegation syntax in Python.

def numbers():
    yield 1
    yield 2
    yield 3

def letters():
    yield 'a'
    yield 'b'
    yield 'c'

def combined():
    yield from numbers()
    yield from letters()

if __name__ == "__main__":
    print(list(combined()))

16 0 Open

Functions & basics easy

How to Convert a List to an Iterator in Python with iter()

This code converts a list into an iterator using the built-in iter() function and retrieves items sequentially with next(), handling exhaustion with StopIteration.

iter iterator built-in

Python

def main():
    # Original list
    fruits = ["apple", "banana", "cherry"]

    # Convert the list to an iterator using iter()
    fruit_iterator = iter(fruits)

    # Retrieve items one at a time with next()
    print(next(fruit_iterator))  # apple
    print(next(fruit_iterator))  # banana
    print(next(fruit_iterat…

12 0 Open

Functions & basics easy

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.

generator yield fibonacci

Python

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 easy

How to Pipe Data Through a List of Transform Functions in Python

Applies a sequence of functions to an initial value using functools.reduce, creating a reusable pipe utility.

functions functional reduce

Python

from functools import reduce

def pipe(data, *transforms):
    return reduce(lambda value, func: func(value), transforms, data)

def double(x):
    return x * 2

def add_one(x):
    return x + 1

def to_string(x):
    return f"Result: {x}"

if __name__ == "__main__":
    initial = 5
    result = pipe(initial, double, …

13 0 Open

Functions & basics easy

How to Use Default Parameters in Python Functions

A beginner-friendly Python function that uses default parameters to compare two numbers with equal, greater, or less operations.

functions default-parameters comparison

Python

def compare(a, b, operation="equal"):
    if operation == "equal":
        return a == b
    elif operation == "greater":
        return a > b
    elif operation == "less":
        return a < b
    else:
        return f"Unknown operation: {operation}"

if __name__ == "__main__":
    print(compare(5, 5))
    print(com…

13 0 Open

Browse by section

Each section groups closely related Python snippets.