In the world of programming with Python, methods are like special tools that help us work with information stored inside objects. Objects are like containers that hold data, and methods are the actions we can perform on that data. In this article, we’re going to explore two special kinds of methods in Python: Class methods<\/a> and Static methods.<\/a><\/strong><\/p>\n Before we dive into the specifics of class and static methods, let’s take a moment to review the fundamentals of methods in Python. Imagine methods as specialized functions closely connected to an object. They empower the object to perform actions on its own data. In other words, methods are like the set of instructions an object follows to do things.<\/p>\n For instance, consider a Car object. A method associated with it might be start_engine(). This method instructs the car to initiate its engine. Another method, drive(speed), could instruct the car to move at a specified speed.<\/p>\n In Python, methods are the mechanisms that enable these kinds of actions within objects, making them crucial for defining how objects behave in classes.<\/p>\n Class methods are like special tools attached to the class itself, not to a particular object of the class. You can recognize them because they are defined using the @classmethod decorator. The first parameter, conventionally named cls, refers to the class itself.<\/p>\n One cool thing about class methods is their ability to handle information that belongs to the entire class, not just one instance. This means they can access and modify class-level variables. This makes them handy when you want to work with shared data across different objects of the same class.<\/p>\n In this example, class_method is like a command that updates a shared piece of information (class_variable) for the entire class. Even though we used the method on obj1 and obj2, the change is reflected in both instances because it’s affecting the class as a whole.<\/p>\n Static methods are like standalone helpers in a class, not tied to a specific instance or the class itself. You can spot them because they are defined using the @staticmethod decorator, and they don’t take the class or instance as their first parameter.<\/p>\nMethods in Python<\/h2>\n
Class Methods<\/h2>\n
Definition<\/h3>\n
Decorators<\/h4>\n
\r\nclass MyClass:\r\nclass_variable = 0\r\n@classmethod\r\ndef class_method(cls, parameter):\r\n# Access class variables using cls\r\ncls.class_variable += parameter<\/code><\/pre>\nAccess to Class Variables<\/h3>\n
Example<\/h4>\n
\r\nclass MyClass:\r\nclass_variable = 0\r\n@classmethod\r\ndef class_method(cls, parameter):\r\ncls.class_variable += parameter\r\n# Create two objects\r\nobj1 = MyClass()\r\nobj2 = MyClass()\r\n# Use the class method\r\nMyClass.class_method(5)\r\n# Check the class variable for each object\r\nprint(obj1.class_variable) # Output: 5\r\nprint(obj2.class_variable) # Output: 5\r\n<\/code><\/pre>\nStatic Methods<\/h3>\n
Definition<\/h4>\n
Decorators<\/h4>\n
\r\nclass MyClass:\r\n@staticmethod\r\ndef static_method(parameter):\r\n# No access to class or instance variables\r\nreturn parameter * 2<\/code><\/pre>\n