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# Instance Method, Class Method, and Their Use in Data Structures and Algorithms Lab In Python, methods are functions defined inside a class that describe the behaviour of objects or the class itself. Understanding different types of methods is important in programming because data structures and algorithms are commonly implemented using classes and objects. In a Data Structures and Algorithms Lab, classes can be used to represent structures such as stacks, queues, linked lists, trees, graphs, heaps, and hash tables. Python mainly provides instance methods, class methods, and static methods. Among these, instance methods and class methods have different purposes, scopes, and ways of accessing data. An instance method is a method that operates on a particular object, or instance, of a class. It is the most commonly used type of method in object-oriented Python programming. The first parameter of an instance method is conventionally named `self`. The `self` parameter represents the current object through which the method is called. It enables the method to access and modify the instance variables belonging to that particular object. A simple example is a stack implementation: ```python class Stack: def __init__(self): self.items = [] def push(self, item): self.items.append(item) def pop(self): if self.items: return self.items.pop() return None ``` Here, `push()` and `pop()` are instance methods. The variable `self.items` belongs to each individual Stack object. If two stack objects are created, each object ____ ______ __________ ___ ____.
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