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In this article, you’ll learn about shallow copy and deep copy in Python with the help of examples. Table of Contents Copy an Object in Python Copy Module Shallow Copy Deep Copy Copy an Object in Python: Python, we used the operator = to make a copy of the item. You might think this creates something new; This does not mean that it creates a new trend in the original reference materials. Let's take an example to make old_list calls and references to the use of new items_list = the employer. Example 1: Copy number = Operator old_list = [[1, 2, 3], [4, 5, 6], [7, 8, 'a']] new_list = old_list new_list[2][2] = 9 print('Old List:', old_list) print('ID of Old List:', id(old_list)) print('New List:', new_list) print('ID of New List:', id(new_list)) When we implement the old program, productivity will be: Old List: [[1, 2, 3], [4, 5, 6], [7, 8, 9]] An ID of Old List: 140673303268168 New List: [[

You will learn Python @property; Pythonic way to use collectors and definers. Table of Contents An Example To Begin With Using Getters and Setters The Power of @property Digging Deeper into Property Python has a concept called great treasure that makes the life of an object-oriented programmer too simple. Before entering the definition and detailed about what @property is, we will first build an intuition about why it would be necessary in the first place. An Example To Begin With: Let's assume that you decide to make a class that can maintain the temperature in degrees Celsius. The method to change the air in degrees Fahrenheit will also be applied. One way to do this is. class Celsius   def __init__(self, temperature = 0):   self.temperature = temperature   def to_fahrenheit(self):        return (self.temperature * 1.8) + 32 We can distinguish the objects of this class and manipulate temperature attributes as we would have liked. Try th