The video tutorial explains how to use a decorator function in Python to enhance a log function. It begins by introducing the log function, which prints a value. The tutorial then demonstrates how to decorate this function using a 'fence' decorator, which adds plus signs around the output. The process involves using the decorator syntax with the '@' symbol. The tutorial also includes a test of the decorated function in Python's interactive mode, showing the output with the added decorations. Finally, it delves into the workings of decorator functions, explaining the concept of a function within a function and how it modifies the behavior of the original function.

What is the purpose of using the '@' symbol in Python?

• To define a new function

• To import a module

• To apply a decorator to a function

• To comment out a line of code

How does the decorator affect the log function's output?

• It makes the function run faster

• It adds additional functionality without modifying the original function

• It prevents the function from executing

• It changes the function's return type

What does the 'fence' decorator add to the log function's output?

• A border of plus signs

• A border of asterisks

• A border of dashes

• A border of hash symbols

What is the role of the nested function within a decorator?

• To initialize global variables

• To handle exceptions

• To perform the decoration task

• To compile the code

Which of the following is NOT a characteristic of a decorator function?

• It can modify the behavior of another function

• It can only be used with built-in functions

• It is defined using the '@' symbol

• It must return a function