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.
Comments
Post a Comment