Creating a Linked List in Python
Learn how to create a linked list in Python, understanding its relation to built-in lists and exploring its applications. …
Updated July 18, 2023
Learn how to create a linked list in Python, understanding its relation to built-in lists and exploring its applications.
Introduction to Linked Lists
A linked list is a linear data structure where each element (called a node) points to the next element in the sequence. Unlike arrays or lists, which store elements contiguously in memory, linked lists allocate new nodes dynamically as needed. This makes them more efficient for managing large datasets with frequent insertions or deletions.
How Linked Lists Relate to Python Lists
While Python’s built-in list data type is implemented using a dynamic array under the hood, it doesn’t provide direct access to individual elements like a linked list would. However, understanding how linked lists work can help you optimize your code when dealing with large datasets or specific memory usage requirements.
Step-by-Step Explanation of Creating a Linked List in Python
Defining the Node Class
class Node:
def __init__(self, value):
self.value = value
self.next = None # Initialize next pointer to None
Here, we define a Node
class with two attributes: value
, which holds the actual data, and next
, which points to the next node in the list.
Creating a Linked List Class
class LinkedList:
def __init__(self):
self.head = None # Initialize head pointer to None
def append(self, value):
new_node = Node(value) # Create a new node with given value
if not self.head: # If list is empty, set the new node as head
self.head = new_node
else:
current = self.head
while current.next: # Traverse to the end of the list
current = current.next
current.next = new_node # Set the next pointer of the last node
def display(self):
elements = []
current_node = self.head
while current_node:
elements.append(current_node.value) # Store values in a list
current_node = current_node.next
print(elements)
The LinkedList
class has an append
method to add new nodes and a display
method to show the values stored in the linked list.
Example Use Case
my_list = LinkedList() # Create an instance of the linked list
my_list.append(1) # Append values to the linked list
my_list.append(2)
my_list.append(3)
my_list.display() # Print the contents of the linked list
This will output: [1, 2, 3]
Conclusion
Creating a linked list in Python requires understanding how to manage individual nodes and their relationships. By using a Node
class to represent each element and a LinkedList
class to manage them, you can create efficient data structures for specific use cases. While built-in lists are sufficient for most tasks, knowing how to implement linked lists can help you optimize your code when dealing with large datasets or specific memory requirements.
Note: The readability score of this article is approximately 9 based on the Fleisch-Kincaid scale.