LINEAR DATA STRUCTURE, KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

Linear data structures are data structures in which elements are arranged in a linear or sequential order. These data structures allow you to store and manipulate data in a straightforward manner, with each element having a unique predecessor and successor. Some common examples of linear data structures include:

1. Arrays:

   • Arrays are a fixed-size collection of elements of the same data type.

   • Elements are stored in contiguous memory locations and can be accessed by their index.

   • Arrays are efficient for random access but may require resizing if the number of elements changes.

2. Lists:

   • Lists are dynamic collections of elements in Python.

   • They can grow or shrink in size as needed and can contain elements of different data types.

   • Elements in lists are not necessarily stored in contiguous memory locations, and access is typically sequential.

3. Linked Lists:

   • Linked lists consist of nodes, where each node stores data and a reference to the next node in a sequence.

   • Singly linked lists have nodes pointing to the next node, forming a unidirectional chain.

   • Doubly linked lists have nodes pointing to both the next and previous nodes, creating a bidirectional chain.

4. Stacks:

   • Stacks are linear data structures that follow the Last-In-First-Out (LIFO) principle.

   • Elements can only be added or removed from one end, typically referred to as the 'top' of the stack.

   • Stacks are often used for tasks like function call management or tracking state changes.

5. Queues:

   • Queues follow the First-In-First-Out (FIFO) principle, where the first element added is the first to be removed.

   • Elements are added at the 'rear' and removed from the 'front' of the queue.

   • Queues are commonly used in task scheduling and managing resources.

6. Deques (Double-Ended Queues):

   • Deques are a generalization of stacks and queues, allowing elements to be added or removed from both ends.

   • They provide efficient access and manipulation at both ends, making them versatile for various applications.

Linear data structures are essential in computer science and programming, and understanding their characteristics, advantages, and limitations is fundamental for designing efficient algorithms and data storage solutions. Each type of linear data structure has specific use cases and trade-offs, so choosing the right one for a particular problem depends on the requirements of the task at hand.

Implemetation of Linked List,Stack,Queue using Python was done