Python Decorators Overview
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Questions and Answers

What symbol is used in Python to apply decorators to a function?

  • #
  • %
  • &
  • @ (correct)
  • What is necessary when defining a decorator that takes arguments?

  • 1.2 (correct)
  • 1.1
  • 1.4
  • 1.3
  • Which of the following allows a decorator to accept any number of arguments?

  • Only using fixed arguments
  • Defining a function without parameters
  • Using a single argument
  • Using *args and **kwargs (correct)
  • What must be passed to a decorator function when using decorators in Python?

    <p>A function</p> Signup and view all the answers

    Why would someone use a general purpose decorator?

    <p>To apply the same behavior to multiple functions</p> Signup and view all the answers

    What is the primary purpose of a decorator in Python?

    <p>To add new functionality to an existing function</p> Signup and view all the answers

    How are decorators typically applied in Python?

    <p>Before the function definition</p> Signup and view all the answers

    What best describes 'first class citizens' in Python concerning functions?

    <p>Functions can be passed as arguments and returned from other functions</p> Signup and view all the answers

    What is another term for inner functions that are used in decorators?

    <p>Wrapper functions</p> Signup and view all the answers

    What ability allows a nested function to access the outer enclosing function in Python?

    <p>Scope inheritance</p> Signup and view all the answers

    When creating a basic decorator to capitalize each word in a sentence, which of the following is essential?

    <p>Implementing a wrapper function within an outer function</p> Signup and view all the answers

    What is a key characteristic of functions in Python regarding their structure?

    <p>Functions can be assigned to variables and modified</p> Signup and view all the answers

    What happens when a function is wrapped by a decorator?

    <p>The original function remains unchanged and is executed as usual</p> Signup and view all the answers

    Study Notes

    Python Decorators

    • Decorators are design patterns enhancing existing objects (typically functions) without altering their structure.
    • They significantly impact function behavior, adding functionalities.
    • Positioned before the function definition needing modification.
    • Python functions are first-class citizens, enabling their use as arguments, return values, assignment to variables, and modification.
    • This flexibility allows functions to be treated like general objects.

    Decorator Example

    • A plus_one function adds 1 to a given number.
    • Assigning the function to a variable (add_one = plus_one) allows calling the original function through the alias.
    • add_one(5) results in 6.

    Inner Functions/Wrapper Functions

    • Functions can be nested within other functions.
    • Sometimes, inner functions are called wrapper functions.

    Decorators Accepting Arguments

    • Decorators can accept arguments, which are passed to the wrapper function.
    • These arguments then get transferred to the original function which is being decorated.

    General Purpose Decorators

    • Decorators can adapt to any function.
    • *args and **kwargs allow multiple argument handling.

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    Description

    This quiz dives into the concept of decorators in Python, a powerful design pattern that enhances the functionality of existing functions. You'll explore how decorators modify behavior and learn about inner functions, wrapper functions, and decorators that accept arguments. Test your knowledge and understanding of these advanced Python features!

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