Sunday 26 March 2023

Top 5 examples of Python decorators:

 @staticmethod: This decorator is used to define a static method in a class. A static method is a method that can be called on the class itself rather than on an instance of the class. Here's an example:

class MyClass:

    @staticmethod

    def my_static_method():

        print("This is a static method")

@classmethod: This decorator is used to define a class method in a class. A class method is a method that takes the class itself as its first argument rather than an instance of the class. Here's an example:

class MyClass:

    class_var = "Hello"

    

    @classmethod

    def my_class_method(cls):

        print(cls.class_var)

@property: This decorator is used to define a method as a property of a class. Properties allow you to access and set the value of an attribute of an instance of the class without explicitly calling a getter or setter method. Here's an example:

class MyClass:

    def __init__(self):

        self._x = 0

        

    @property

    def x(self):

        return self._x

    

    @x.setter

    def x(self, value):

        if value < 0:

            raise ValueError("Value must be non-negative")

        self._x = value

@log_calls: This decorator can be used to log all calls to a function. Here's an example:

def log_calls(func):

    def wrapper(*args, **kwargs):

        print(f"Calling {func.__name__} with args: {args}, kwargs: {kwargs}")

        result = func(*args, **kwargs)

        print(f"Finished {func.__name__}")

        return result

    return wrapper


@log_calls

def my_function(x, y):

    return x + y

@cache: This decorator can be used to cache the results of a function so that the function doesn't need to be called again with the same arguments. Here's an example:

def cache(func):

    results = {}

    def wrapper(*args):

        if args in results:

            return results[args]

        result = func(*args)

        results[args] = result

        return result

    return wrapper


@cache

def fibonacci(n):

    if n < 2:

        return n

    return fibonacci(n-1) + fibonacci(n-2)


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