Implementing Iterator pattern with Python

The Iterator pattern is a behavior design pattern that provides a way to sequentially access elements in a container object without exposing the internal representation of the object. In Python, the generator and Iterator protocol can be used to implement the Iterator pattern. The following is an example code of using Python to implement the Iterator pattern: python class MyIterator: def __init__(self, data): self.data = data self.index = 0 def __iter__(self): return self def __next__(self): if self.index >= len(self.data): raise StopIteration value = self.data[self.index] self.index += 1 return value #Use Iterator my_list = [1, 2, 3, 4, 5] my_iterator = MyIterator(my_list) for item in my_iterator: print(item) In the example code, we define a 'MyIterator' class that takes a data list as input and implements the`__ Iter__` And`__ Next__` Method`__ Iter__` Method returns the Iterator itself, and`__ Next__` Method is used to return the next element in the container object. Next, we created a 'my'_ List 'list and pass it to the instantiated object' my 'of the' MyIterator 'class_ Iterator `. Then, we use the 'for' loop to traverse 'my'_ Iterator 'object, the Iterator will return' my_ List each element and print it out. In this example, we successfully implemented the Iterator pattern in Python, accessing each element of the container object sequentially through the Iterator object without exposing the internal representation of the container object.