This document summarizes different types of data structures. It defines data structures as particular ways of organizing data to be used efficiently. There are two main types: primitive and non-primitive. Primitive structures are basic data types like integers and floats, while non-primitive structures include linear ones like arrays and linked lists that use sequential operations as well as non-linear ones like trees and graphs that use random operations.

1. Data structure

2. Name: Akshay Pethani
Roll no: 39
Enroll no: 130030116040

3. Introduction
 In computer science, a data structure is a particular way of
organizing data in a computer so that it can be used efficiently.
 Data structures provide a means to manage large amounts of
data efficiently for uses such as large databases and internet
indexing services.
 Usually, efficient data structures are key to designing
efficient algorithms.
 Some formal design methods and programming
languages emphasize data structures, rather than algorithms, as
the key organizing factor in software design. Storing and
retrieving can be carried out on data stored in both main
memory and in secondary memory.

4. Types of Data Structures
There is mainly two types of data structures, They are as
follows:
1. Primitive Data structures
2. Non primitive Data Structures

5. Primitive Data Structures
 All built-in data types are called primitive data structures.
 They are already defined by system.
 E.g.
Int , float , char ,Boolean etc.

6. Non Primitive Data structures
 Non primitive data structures again divided into two sub
parts, they are as follows.
1. Linear data Structures
2. Non linear data Structures

7. Linear data Structures
 The data structures in which all operations (insertion /
deletion) done in linear fashion they are called linear data
structures.
 E.g.
Array, Linked list, stack, queue

8. Non linear data Structures
 The data structures in which all operations (insertion /
deletion) done in random fashion they are called linear
data structures.
 E.g.
Tree , Graph

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