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Functions & basics

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

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Functions & basics easy

Chain Generators with yield from in Python

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

generators yield delegation
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 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

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