, Data Structure in Python
From Basics to Expert Proficiency
Copyright © 2024 by HiTeX Press
All rights reserved. No part of this publication may be reproduced,
distributed, or transmitted in any form or by any means, including
photocopying, recording, or other electronic or mechanical methods,
without the prior written permission of the publisher, except in the case
of brief quotations embodied in critical reviews and certain other
noncommercial uses permitted by copyright law.
,Contents
1 Introduction to Data Structures and Algorithms
1.1 What are Data Structures?
1.2 Why Study Data Structures?
1.3 Types of Data Structures
1.4 Basic Terminology
1.5 What is an Algorithm?
1.6 Importance of Algorithms in Computer Science
1.7 Analysis of Algorithms
1.8 Big O Notation
1.9 Time and Space Complexity
1.10 Choosing the Right Data Structure
2 Python Programming Basics
2.1 Introduction to Python
2.2 Setting Up Python Environment
2.3 Basic Syntax and Variables
2.4 Data Types and Structures
2.5 Control Flow Statements
2.6 Functions and Modules
2.7 File Handling
2.8 Exception Handling
2.9 Working with Libraries
2.10 Introduction to Object-Oriented Programming
3 Array Structures
3.1 Introduction to Arrays
3.2 Array Operations
3.3 Types of Arrays
3.4 Multidimensional Arrays
3.5 Array Slicing
3.6 Array Sorting
3.7 Array Searching
, 3.8 Dynamic Arrays
3.9 Applications of Arrays
3.10 Performance Considerations
4 Linked Lists
4.1 Introduction to Linked Lists
4.2 Singly Linked Lists
4.3 Doubly Linked Lists
4.4 Circular Linked Lists
4.5 Basic Operations on Linked Lists
4.6 Insertion in Linked Lists
4.7 Deletion in Linked Lists
4.8 Traversal in Linked Lists
4.9 Searching in Linked Lists
4.10 Applications of Linked Lists
4.11 Comparison of Linked Lists and Arrays
5 Stacks and Queues
5.1 Introduction to Stacks
5.2 Stack Operations
5.3 Stack Implementation in Python
5.4 Applications of Stacks
5.5 Introduction to Queues
5.6 Queue Operations
5.7 Queue Implementation in Python
5.8 Types of Queues
5.9 Applications of Queues
5.10 Comparison of Stacks and Queues
5.11 Performance Considerations in Stacks and Queues
6 Trees
6.1 Introduction to Trees
6.2 Binary Trees
6.3 Tree Traversal Methods
6.4 Binary Search Trees (BST)
6.5 Insertion in BST
6.6 Deletion in BST
From Basics to Expert Proficiency
Copyright © 2024 by HiTeX Press
All rights reserved. No part of this publication may be reproduced,
distributed, or transmitted in any form or by any means, including
photocopying, recording, or other electronic or mechanical methods,
without the prior written permission of the publisher, except in the case
of brief quotations embodied in critical reviews and certain other
noncommercial uses permitted by copyright law.
,Contents
1 Introduction to Data Structures and Algorithms
1.1 What are Data Structures?
1.2 Why Study Data Structures?
1.3 Types of Data Structures
1.4 Basic Terminology
1.5 What is an Algorithm?
1.6 Importance of Algorithms in Computer Science
1.7 Analysis of Algorithms
1.8 Big O Notation
1.9 Time and Space Complexity
1.10 Choosing the Right Data Structure
2 Python Programming Basics
2.1 Introduction to Python
2.2 Setting Up Python Environment
2.3 Basic Syntax and Variables
2.4 Data Types and Structures
2.5 Control Flow Statements
2.6 Functions and Modules
2.7 File Handling
2.8 Exception Handling
2.9 Working with Libraries
2.10 Introduction to Object-Oriented Programming
3 Array Structures
3.1 Introduction to Arrays
3.2 Array Operations
3.3 Types of Arrays
3.4 Multidimensional Arrays
3.5 Array Slicing
3.6 Array Sorting
3.7 Array Searching
, 3.8 Dynamic Arrays
3.9 Applications of Arrays
3.10 Performance Considerations
4 Linked Lists
4.1 Introduction to Linked Lists
4.2 Singly Linked Lists
4.3 Doubly Linked Lists
4.4 Circular Linked Lists
4.5 Basic Operations on Linked Lists
4.6 Insertion in Linked Lists
4.7 Deletion in Linked Lists
4.8 Traversal in Linked Lists
4.9 Searching in Linked Lists
4.10 Applications of Linked Lists
4.11 Comparison of Linked Lists and Arrays
5 Stacks and Queues
5.1 Introduction to Stacks
5.2 Stack Operations
5.3 Stack Implementation in Python
5.4 Applications of Stacks
5.5 Introduction to Queues
5.6 Queue Operations
5.7 Queue Implementation in Python
5.8 Types of Queues
5.9 Applications of Queues
5.10 Comparison of Stacks and Queues
5.11 Performance Considerations in Stacks and Queues
6 Trees
6.1 Introduction to Trees
6.2 Binary Trees
6.3 Tree Traversal Methods
6.4 Binary Search Trees (BST)
6.5 Insertion in BST
6.6 Deletion in BST
