Data Structures -An Introduction with Basic Examples

 Let’s consider a social media application. You create an account with your basic details and receive many follow requests, which you accept. Your follower’s list is then organized like a data structure.

Data structures are used to store and manage data in an organized and efficient way.

Everyday Examples: Think of a bookshelf, a wardrobe, or a parking area in a mall—each one organizes different types of items systematically.

Definition:

A data structure is a way of organizing, processing, and retrieving data effectively.

How are data structures classified?

They are broadly categorized into two types:


1. Linear Data Structures

Here, data is stored sequentially and accessed one by one.

  • Array: A basic linear data structure where elements are stored in contiguous memory locations.
  • Linked List: Composed of nodes that are connected using pointers or links.
  • Stack: Follows the Last-In, First-Out (LIFO) principle.
  • Queue: Follows the First-In, First-Out (FIFO) principle—like people standing in a queue.

2. Non-linear Data Structures

The data isn’t stored sequentially; instead, it forms hierarchical or interconnected structures.

  • Tree: Has a root node and child nodes, representing a parent-child relationship.
  • Graph: Consists of nodes (vertices) connected by edges, useful for modeling networks.

Why are data structures important?

They are the backbone of data organization. Proper use of data structures ensures that data can be stored, accessed, and manipulated efficiently.


Real-life Examples of Data Structures:

  • Bank transactions: Utilize stacks and queues to manage operations.
  • Travel apps: Rely on graph structures for route optimization.
  • Social media apps: Often use tree structures to represent follower hierarchies.

Hope ,this introduction will help you to understand Data structures.

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