Part 2 - Different ways of working with Attributes Here we explore different ways to work with Python attributes. Note that, while one of the approaches we are using is set get, this approach is generally deprecated in favor of the simpler dot notation. Create a StateData2 class with the following methods: __init__.setRegion, getRegion. The __init___ method should have the parameters self, name and should store the name as an attribute. The setRegion should have the parameters self, region and should store the region as an attribute. The getRegion should have the the parameter self and should return the the value of the region data variable. Test the class by creating an instance of the class called s2 with the following data: "California". Then call setRegion with the argument "West". Then set the population attribute with the following line of code: s2.pop 39250000 Then print four lines: s2.name, s2.getRegion(), s2.region, s2.pop Again, this test code should be after your class code. Sample Execution Results: California West West 39250000

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Passing Array as Argument

An array is a data structure that holds only fixed-size data and its contents are arranged in contiguous memory slots. The primary purpose of using an array is to store data items of the identical type together. An array can stockpile any one of the following types of data: int, float, char and so forth. The elements are stored from index 0, and the difference between the two indexes of the array is termed as an offset. The array has a fixed size. Once the size is defined during array declaration, it cannot be changed later.