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4331601
Data Structure with
Python
Prof. Arvind Meniya
UNIT 1
Basic Concept
of Data
Structure

Definition:
“Data Structure is a logical or Mathematical model which is used to organized the
data in a memory”
 Data Structures are the main part of many Computer Science Algorithms as
they allow the programmers to manage the data in an effective way.
 Data Structures support different methods to organize, manage, and store data
efficiently.
 Data Structures provide Efficiency, Reusability, and Abstraction.
What is Data
Structure?

 Data Structures allow us to organize and store data, whereas Algorithms allow us to
process that data meaningfully.
 Learning Data Structures and Algorithms will help us become better Programmers.
 We will be able to write code that is more effective and reliable.
 We will also be able to solve problems more quickly and efficiently.
Why should we
need to learn
Data Structure?

 A Data Structure delivers a structured set of variables related to each other in
various ways.
 It forms the basis of a programming tool that signifies the relationship between the
data elements and allows programmers to process the data efficiently.
 We can classify Data Structures into two categories:
 Primitive Data Structure
 Non-Primitive Data Structure
Classifications
of Data
Structure

Classifications
of Data
Structure

Primitive Data Structures
 Primitive Data Structures are the data structures consisting of the numbers and the
characters that come in-built into programs.
 These data structures can be manipulated or operated directly by machine-level
instructions.
 Basic data types like Integer, Float, Character, and Boolean come under the Primitive
Data Structures.
 These data types are also called Simple data types,.
Classifications
of Data
Structure

Non-Primitive Data Structures
Non-Primitive Data Structures are those data structures derived from Primitive
Data Structures.
These data structures can't be manipulated or operated directly by machine-level
instructions.
The focus of these data structures is on forming a set of data elements that is
either homogeneous (same data type) or heterogeneous (different data types).
Based on the structure and arrangement of data, we can divide these data
structures into two sub-categories -
Linear Data Structures
Non-Linear Data Structures
Classifications
of Data
Structure

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Introduction to Data Structure with Python

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