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Functions & basics

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

3 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()))

14 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

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