Having understood the concept of a shallow copy, it’s now easy to understand the concept of a deep copy. Les copies superficielles de dictionnaires peuvent être faites en utilisant dict.copy(), et de listes en affectant un slice de la liste, par exemple, copied_list = original_list[:]. Copying List by Reference. Deep copy of a Linked List means we do not copy the references of the nodes of the original Linked List rather for each node in the original Linked List a new node is created. Whereas in deep copy, when we add an element in any of the lists, only that list is modified. Python: Copy Nested List, Shallow/Deep Copy. That means: modifying one list also modifies the other. A shallow copy only copies the references of the list elements. Clone a Linked List in C, Java and Python, Clone a Linked List: Write a function that takes a singly linked list and returns a complete copy of that list.. In this article we will go through various ways of copying or cloning a list in Python. In Python, we use = operator to create a copy of an object. After copying if we change the copied variable data then … # python 3 list_a = [3, 4, 5] list_b = list_a list_a  = 7 print (list_b ) # [7, 4, 5] Check Equality of 2 Objects. Date: 2012-03-16. These various ways of copying takes different execution time, so we can compare them on the basis of time. In Python, we can find a problem with copying any mutable objects value to another. If you do this list_a = list_b, that'll copy a reference. Les classes peuvent utiliser les mêmes interfaces de contrôle que celles utilisées pour la sérialisation. Recursion is a very… It only creates a new variable that shares the reference of the original object. List copy problem in python: Deep Copy. Clone a Linked List: Write a function that takes a singly linked list and returns a complete copy of that list.. In this article, you’ll learn about shallow copy and deep copy in Python with the help of examples. When we use “=” operator the new list refers to the same object, hence any change (append, remove, change of value) in one list is reflected on both. You may think that this creates a new object; it doesn't. If we use ‘=’ sign to store the data of the mutable object into another variable. If you aren’t okay with that, check out the following section about deep copies of Python lists: Method 2: Python List Copy Deep. The idea is to iterate over the original list in the usual way and maintain two pointers to keep track of the new list: one head pointer, and one tail pointer which always points to the last node in new list Copy an Object in Python. By Xah Lee. Last updated: 2019-03-23.