Python Functions and Scope 5

Question 1

What is the difference between `return` and `yield` in Python?

Accepted Answer

`return` exits the function and returns a value; `yield` pauses execution and produces a value

Answer

`return` terminates the function call, while `yield` suspends it and produces a value, resuming from the same point on the next iteration.

Question 2

Which of the following is a positional-only parameter syntax introduced in Python 3.8?

Accepted Answer

def f(x, /, y):

Answer

The `/` separator in a parameter list marks all parameters before it as positional-only — they cannot be passed by keyword.

Question 3

What does `functools.partial` do?

Accepted Answer

Creates a new callable with some arguments pre-filled

Answer

`functools.partial(func, *args, **kwargs)` returns a new callable with the given arguments pre-applied to `func`.

Question 4

What is the scope of a variable defined inside a `for` loop in Python?

Accepted Answer

Function scope — it remains accessible after the loop

Answer

Python has no block scope; loop variables remain in the enclosing function (or module) scope after the loop finishes.

Question 5

What does a decorator fundamentally do in Python?

Accepted Answer

Wraps a function to extend or alter its behavior without modifying its source

Answer

A decorator is a callable that takes a function, adds behavior, and returns a new callable — applied using the `@decorator` syntax.

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