How to Copy an Object in Python

In Python, you can copy an object using either shallow copy or deep copy, depending on your needs.

A shallow copy creates a new object that points to the same memory location as the original object, while a deep copy creates a new object with a new memory location that is an exact replica of the original object.

Here's how you can copy an object using both methods:
Shallow Copy

To create a shallow copy of an object, you can use the copy() method or the slicing operator [:].

import copy

# Using copy() method
original_list = [1, 2, 3]
new_list = original_list.copy()
print(new_list) # Output: [1, 2, 3]

[1, 2, 3]

original_dict = {"a": 1, "b": 2, "c": 3}
new_dict = original_dict.copy()
print(new_dict) # Output: {"a": 1, "b": 2, "c": 3}

{'a': 1, 'b': 2, 'c': 3}

In the above example, we create a shallow copy of a list and a dictionary using the copy() method.

Deep Copy

To create a deep copy of an object, you can use the deepcopy() function from the copy module.

# Using deepcopy() function
import copy
original_list = [[1, 2, 3], [4, 5, 6]]
new_list = copy.deepcopy(original_list)
print(new_list) # Output: [[1, 2, 3], [4, 5, 6]]

[[1, 2, 3], [4, 5, 6]]

# Modifying original list
original_list[0][0] = 0
print(original_list) # Output: [[0, 2, 3], [4, 5, 6]]
print(new_list) # Output: [[1, 2, 3], [4, 5, 6]]

[[0, 2, 3], [4, 5, 6]]
[[1, 2, 3], [4, 5, 6]]

In the above example, we create a deep copy of a nested list using the deepcopy() function. We then modify the original list, and see that the new list is not affected because it has its own memory location.

These are the two main ways to copy an object in Python. Choose the appropriate method based on the needs of your code.

@ParagDhawan

https://paragdhawan.blogspot.com/2023/03/python-interview-questions-and-answers.html