


Using Linked Lists in Python
In Python, the standard list and tuple data structures are not true linked lists. Linked lists have unique advantages, including constant-time concatenation and easy referencing of distinct sections.
To define a linked list in Python, you can use the following code:
>>> class Node: ... def __init__(self, data): ... self.data = data ... self.next = None
This defines a "Node" class that can store a piece of data and reference the next node in the list.
To create a linked list, create nodes and link them together:
>>> head = Node(1) >>> second = Node(2) >>> third = Node(3) >>> head.next = second >>> second.next = third
This code creates a linked list with head, second, and third as nodes. The head node is the starting point of the list.
To access elements in the list, traverse the nodes:
>>> current_node = head >>> while current_node is not None: ... print(current_node.data) ... current_node = current_node.next
This code prints the data in each node in the list.
For certain applications, a deque (double-ended queue) may also be appropriate. Deques allow for adding and removing items from both ends with a O(1) time complexity.
<code class="python">>>> from collections import deque >>> d = deque([1,2,3,4]) >>> d.pop() 4 >>> d deque([1, 2, 3])</code>
By using linked lists or deques, you can effectively implement data structures in Python that have the advantageous properties of linked lists.
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