Queue Implementation In Linked List | Data Structures And Algorithms Tutorial | Simplilearn

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This video is based on Queue Implementation In Linked List. It will help you understand the implementation details of a linear queue in the data structure. This tutorial will acquaint you with the C program for Implementing Queue Using linked lists. The topics covered in this video are:

00:00 Introduction to Queue Implementation In Linked List
01:21 Queue Functionalities: Quick Recap [Queue Implementation In Linked List]
02:35 What Is the Need for Linked List Implementation of the Queue?
05:06 Queue Implementation In Linked List
06:37 The Challenge while Queue Implementation In Linked List
10:19 Coding Queue Implementation In Linked List

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What Is Linked List in Data Structure?
The linked list is a collection of data elements that we call nodes. These nodes are stored at non-contiguous locations in memory. Further, each node contains two fields, one to store data and another to store the address of the next node or the reference to the next node. The linked list is a dynamic data structure whose size can be changed at runtime.

Queue Implementation In Linked List

Enqueue() - Insertion of elements to the queue.
Dequeue() - Removal of elements from the queue.
Peek() - Acquires the data element available at the front node of the queue without deleting it.
isFull() - Validates if the queue is full.
isNull() - Checks if the queue is empty.

What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification.

Why Is Data Structure Important?
The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 percent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.