Class method differences in Python bound unbound and static

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in python, class methods are a crucial part of object-oriented programming. they are defined within a class and can be called on the class itself, as well as on instances of that class. however, there are distinctions between three types of class methods: bound, unbound, and static. in this tutorial, we will explore these differences with code examples.
a bound class method is associated with an instance of the class. when you call a bound class method, python automatically passes the instance as the first argument (self by convention). this allows you to access instance-specific attributes and perform operations related to that instance.
output:
in this example, bound_method is a class method, and when we call it on obj, the instance obj is passed implicitly as the first argument.
an unbound class method is not associated with any instance. it is defined within the class but does not take the instance as its first argument. unbound class methods can be called on the class itself and do not have access to instance-specific attributes.
output:
in this example, unbound_method is an unbound class method. it is called on the class myclass, and it does not require an instance to be passed explicitly.
static class methods are defined using the @staticmethod decorator. they are not associated with either the class or its instances. static class methods do not take any special first argument (e.g., self or cls), making them similar to regular functions. they are mainly used for utility functions that are relevant to the class but do not depend on its state.
output:
in this example, static_method is a static class method. it can be called on the class itself and does not require an instance.
understanding the differences between bound, unbound, and static class methods in python is essential for effective object-oriented programming. bound methods are associated with instances, unbound methods are not, and static methods are independent of instances. choose the appropriate t ...