REST APIs with Flask and Python - Simple Decorators in Python

The video tutorial introduces decorators in Python, highlighting their ability to modify functions easily. It discusses user access control, demonstrating how to secure functions using if statements and decorators. The tutorial explains the limitations of basic security methods and shows how decorators can provide a more robust solution. It concludes with error handling tips and a preview of more advanced decorator syntax in the next video.

What is the primary purpose of decorators in Python?

• To create new data types

• To easily modify functions

• To enhance the speed of Python programs

• To modify the syntax of Python code

What is the limitation of using an if statement to secure a function?

• It makes the code run slower

• It only protects specific calls to the function

• It requires additional libraries

• It can only be used with admin users

How do decorators help in securing functions?

• By replacing all functions with secure versions

• By modifying functions without changing their original code

• By creating a new programming language

• By encrypting the function code

What is a key advantage of using decorators over traditional methods?

• They are easier to debug

• They allow checking user access level at function call time

• They require less memory

• They are faster to execute

What happens if a non-admin user tries to access a secured function using a decorator?

• The function executes normally

• An error message is displayed

• The function returns None

• The function returns a default value

What additional feature can be added to a decorator for better user feedback?

• Encrypting the function's output

• Increasing the function's speed

• Returning a custom error message

• Logging the function call

What is the next topic to be covered in the following video?

• Creating Python classes

• Error handling in Python

• Syntax for decorators

• Advanced Python data types