"Linked Lists 101: Understanding the Basics"

Linked Lists:

A linked list is a data structure that consists of a sequence of elements, where each element is called a node. Each node contains two fields: a value and a reference (or pointer) to the next node in the list. The first node is called the head of the list, and the last node is called the tail. The head node's reference points to the second node, the second node's reference points to the third node, and so on. The tail node's reference is typically set to null, indicating the end of the list. Linked lists are commonly used for dynamic data structures, such as stacks and queues, and can be used to implement other data structures, such as trees and graphs.




A linked list is a data structure that consists of a series of elements, called nodes, which are linked together in a specific order. Each node contains two parts: a data element and a reference to the next node in the list. The first node in the list is called the head, and the last node is called the tail.
Linked lists are useful in situations where elements need to be added or removed from the list frequently, as they do not require the entire list to be shifted around like arrays do. Additionally, linked lists can be used to create more complex data structures, such as stacks and queues.
To navigate a linked list, one starts at the head and follows the references to the next node until the desired node is found. This process is called traversing the list.
Linked lists can also be divided into two types: singly linked lists and doubly linked lists. In a singly linked list, each node only has a reference to the next node, while in a doubly linked list, each node has a reference to the next and previous node. This allows for more efficient traversal in both directions.
Overall, linked lists are a powerful and efficient data structure that can be used in a variety of situations. By understanding the basics of linked lists, developers can make informed decisions on when to use them and how to implement them effectively.

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