## Introduction

Welcome Readers! __Data Structure__ is the most basic and important part of Computer Programming as well as Software interviews. No doubt this is a highly required skill in all software interviews. This series of 3 blogs will cover the most important data structure questions. After reading the blog, make sure to visit other blogs by visiting part2 and part3.

We hope you learn a lot from this blog.

## What is Data Structure

A Data structure is a useful tool for both organising and manipulating data. Simply put, it enables data to be used more effectively. There are numerous data structures, each of which is appropriate for a specific set of applications.

It's a basic idea in any programming language, and it's crucial for algorithmic design.

Data Structure is referred to the way data is arranged and modified. It aims to improve the efficiency of data access. When it comes to the data structure, we don't just look at one piece of data; we look at multiple sets of data and how they might be linked together in a logical way.

**Recommended Topic **- hash function in data structure

### Types of Data Structures

There are two types of data structures:

**Linear data structure:**A linear data structure is one in which the data structure's elements form a sequence or a linear list. Examples include arrays, linked lists, stacks, queues, and other data structures.**Non-linear data structure:**A non-linear data structure is one in which the elements of the data structure cause nodes to be traversed in sequential order. Examples include trees, graphs, and other similar structures.

### Real-world Application of Data Structures

Data structures form the core and the most basic foundation of software programming, like any efficient algorithm for a given problem is dependent on how effectively data is structured.

Data Structure

**Applications-**

**Array: **Mobile phone contacts**Linked List:** Next feature of Music Player**Trees:** Indexing in databases**Stacks:** Undo and Redo tasks in editors**Queues: **In Operating Systems for FCFS scheduling**Graphs:** Google Maps, Facebook, and LinkedIn

Some of the other most critical areas where data structures are used are as follows:

→ Artificial intelligence

→ Compiler design

→ Machine learning

→Database design and management

→Blockchain

→Numerical and Statistical analysis

→Operating system development

→Image & Speech Processing

→Cryptography

→Numerical analysis

→Operating system

→Artificial Intelligence

→Compiler design

→Database management

→Graphics

→Statistical analysis

→Genetics

→Simulation

Recommended reading: __Html interview questions__