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python decorators are a powerful and flexible feature that allows you to modify or extend the behavior of functions or methods. decorators are a form of metaprogramming and can be used to wrap functions with additional functionality. in this tutorial, we will explore the basics of decorators with a simple example.
decorators are functions that take another function as an argument and extend or modify its behavior. they are applied using the @decorator syntax just above the function definition. decorators provide a concise way to alter the functionality of functions without modifying their source code.
let's start with a basic example of a decorator that logs the execution of a function along with its arguments and return value.
in this example, log_function_execution is a decorator that takes a function (func) as its argument and returns a new function (wrapper). the wrapper function prints information about the function execution, calls the original function, and then prints the result.
now, let's apply this decorator to a sample function:
when you call the add function, the decorator will modify its behavior:
the output will be:
decorators can also take parameters. let's create a decorator that repeats the execution of a function a specified number of times:
now, let's apply this decorator to a function:
when you call the greet function, it will execute three times, and the decorator will print the result each time:
the output will be:
decorators are a powerful tool in python for modifying or extending the behavior of functions. this tutorial provided a simple introduction to creating and using decorators, along with examples to help you get started. experiment with different decorators to explore the versatility of this feature in python.
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