Creating a copy of an object in Python can be achieved using the built-in copy module. There are two main methods for creating a copy of an object: shallow copy and deep copy. Shallow copy creates a new object but does not create new copies of the nested objects within it. On the other hand, deep copy creates new copies of the nested objects as well. To create a shallow copy of an object, you can use the copy() method from the copy module. For example: import copy original_list = [1, 2, 3] copied_list = copy.copy(original_list) To create a deep copy of an object, you can use the deepcopy() method from the copy module. This method creates a new object and recursively creates copies of all nested objects within it. For example: import copy original_dict = {'a': 1, 'b': {'c': 2}} copied_dict = copy.deepcopy(original_dict) Understanding the difference between shallow copy and deep copy is important when creating copies of objects in Python. Depending on the requirements of your program, you can choose the appropriate method for creating copies of objects. By using the copy module and its methods, you can easily create copies of objects in Python and manipulate them without affecting the original objects. This can be useful for tasks such as creating backups of objects, modifying objects without altering the original, or creating independent copies for different parts of your program. By incorporating the techniques for creating copies of objects in Python, you can enhance the flexibility and robustness of your programs.