Algorithms Interview Questions Python

Python Linked List: Insertion of an Element After a Specific Node

Learn how to efficiently insert a new element after a specific node in a linked list using Python. Follow this step-by-step guide with code examples to understand the implementation details.


In Python, linked lists are fundamental data structures used to store and manipulate collections of elements. Inserting an element after a specific node in a linked list is a common operation that requires careful pointer manipulation. In this blog post, we will explore a Python implementation of the linked list data structure and demonstrate Insertion of an element after a specific node using a simple and efficient approach.

Creating the Linked List:

Before we dive into the insertion process, we’ll start by creating a linked list class in Python. Our linked list class will consist of nodes, each containing data and a pointer to the next node. We will define the necessary methods to insert an element after a specific node.

Implementing the Insertion Method:

To insert a new element after a specific node, we need to locate the target node and update the pointers accordingly. The Python code provided below illustrates the process:

# Code snippet from the implementation
class Node:
    def __init__(self, data=None): = data = None

class LinkedList:
    def __init__(self):
        self.head = None

    def insert_after(self, target, new_data):
        if self.head is None:
            print("Linked list is empty.")

        current = self.head
        while current:
            if == target:
                new_node = Node(new_data)
       = new_node
            current =

        print(f"Element '{target}' not found in the linked list.")

Step-by-Step Explanation:

  1. We start by defining a Node class representing a single node in the linked list. Each node contains a data attribute and a next pointer to the next node.
  2. Next, we define a LinkedList class that initializes an empty linked list with a head attribute.
  3. The insert_after method locates the target node by iterating through the linked list. If the target node is found, it creates a new node for the new data and adjusts the pointers to insert the new node after the target node.
  4. If the target node is not found, an appropriate message is displayed.


Inserting an element after a specific node in a linked list is an essential operation when working with linked data structures. In this blog post, we covered a Python implementation of a linked list and demonstrated how to perform this insertion using a step-by-step approach. By understanding the underlying logic and leveraging pointer manipulation, you can efficiently modify linked lists to suit your needs.

By following this tutorial, you can enhance your understanding of linked lists and strengthen your Python programming skills. Implementing linked lists and performing operations like inserting elements will equip you with the knowledge to tackle more complex data structures and algorithms in your projects.

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