Python Decorators Overview

Decorator functions are functions that take another function as input and return a new function. They modify the behavior of the input function.

Python provides a shortcut using the '@' symbol to apply decorators. The @ symbol precedes the function you want to decorate.

Decorators can accept arguments which are then passed to the inner wrapper function. These arguments are used during the decorated function's call.

These decorators can be applied to any function and can accept any number of arguments using *args and **kwargs.

Practice exercises for functions and decorators are available in the learning platform (Moodle). These provide hands-on experience with the concepts covered.

A design pattern enhancing existing objects (typically functions) without altering their structure, adding functionality.

Functions treated like data in Python; can be passed as arguments, returned from functions, assigned to variables, or modified.

A function nested (defined inside) another function, used to modify behavior of the outer function.

Inner functions (wrapper) can access variables and attributes in the outer function's scope.

Decorators are placed before the function definition to be enhanced.

Passing a function as input to other functions for modification or execution.

A function can be the output of another function. This is valuable in decorators to enhance functions.

Transformation of a sentence to uppercase. Example: 'hello world' to 'Hello World'.