Dr. Basant Agarwal - Hands-On Data Structures and Algorithms with Python: Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition
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Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient
Key Features- Explore functional and reactive implementations of traditional and advanced data structures
- Apply a diverse range of algorithms in your Python code
- Implement the skills you have learned to maximize the performance of your applications
Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. Youll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer.
By the end of this Python book, youll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.
What you will learn- Understand common data structures and algorithms using examples, diagrams, and exercises
- Explore how more complex structures, such as priority queues and heaps, can benefit your code
- Implement searching, sorting, and selection algorithms on number and string sequences
- Become confident with key string-matching algorithms
- Understand algorithmic paradigms and apply dynamic programming techniques
- Use asymptotic notation to analyze algorithm performance with regard to time and space complexities
- Write powerful, robust code using the latest features of Python
This book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.
Table of Contents- Python Data Types and Structures
- Introduction to Algorithm Design
- Algorithm Design Techniques and Strategies
- Linked Lists
- Stacks and Queues
- Trees
- Heaps and Priority Queues
- Hash Tables
- Graphs and Algorithms
- Searching
- Sorting
- Selection Algorithms
- String Matching Algorithms
- Appendix: Answers to the Questions
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Hands-On Data Structures and Algorithms with Python
Third Edition
Store, manipulate, and access data effectively and boost the performance of your applications
Dr. Basant Agarwal
BIRMINGHAMMUMBAI
Python and the Python Logo are trademarks of the Python Software Foundation.
Hands-On Data Structures and Algorithms with Python
Third Edition
Copyright 2022 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Senior Publishing Product Manager: Denim Pinto
Acquisition Editor Technical Reviews: Saby Dsilva
Project Editor: Rianna Rodrigues
Content Development Editor: Rebecca Robinson
Copy Editor: Safis Editing
Technical Editor: Karan Sonawane
Proofreader: Safis Editing
Indexer: Tejal Daruwale Soni
Presentation Designer: Ganesh Bhadwalkar
First published: May 2017
Second edition: October 2018
Third edition: July 2022
Production reference: 1150722
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-80107-344-8
www.packt.com
Dr. Basant Agarwal is working as an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Information Technology Kota (IIIT-Kota), India, which is an Institute of National Importance. He holds a Ph.D. and M.Tech. from the Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, India. He has more than 9 years of experience in research and teaching. He has worked as a Postdoc Research Fellow at the Norwegian University of Science and Technology (NTNU), Norway, under the prestigious European Research Consortium for Informatics and Mathematics (ERCIM) fellowship in 2016. He has also worked as a Research Scientist at Temasek Laboratories, National University of Singapore (NUS), Singapore. His research interests are in artificial intelligence, cyber-physical systems, text mining, natural language processing, machine learning, deep learning, intelligent systems, expert systems, and related areas.
This book is dedicated to my family, and friends.
Thank you to Benjamin Baka for his hard work in the first edition.
Dr. Basant Agarwal
Patrick Arminio is a software engineer based in London. Hes currently the chair of Python Italia, an association that organizes Python events in Italy.
Hes been working with Python for more than 10 years, focusing on web development using Django. Hes also the maintainer of Strawberry GraphQL, an open source Python library for creating GraphQL APIs.
Dong-hee Na is a software engineer and an open-source enthusiast. He works at Line Corporation as a backend engineer. He has professional experience in machine learning projects based on Python and C++. As for his open-source works, he focuses on the compiler and interpreter area, especially for Python-related projects. He has been a CPython core developer since 2020.
Join our communitys Discord space for discussions with the author and other readers: https://packt.link/MEvK4
Data structures play a vital role in storing and organizing data within an application. It is important to choose the right data structure to significantly improve the applications performance, as it is highly desirable to be able to scale the application as the data quantity increases. This new edition teaches you essential Python data structures and the most common and important algorithms for building easy, maintainable applications. It also allows you to implement these algorithms with working examples and easy to follow step-by-step instructions.
In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will learn how to create complex data structures such as linked lists, stacks, heaps, queues, trees, and graphs as well as sorting algorithms including bubble sort, insertion sort, heapsort, and quicksort. We also describe various selection algorithms such as randomized and deterministic selection and provide a detailed discussion of various data structure algorithms and design paradigms such as greedy algorithms, divide-and-conquer, and dynamic programming. In addition, complex data structures such as trees and graphs are explained with easy pictorial examples to understand the concepts of these useful data structures. You will also learn various important string processing and pattern-matching algorithms such as KMP and Boyer-Moore algorithms along with their easy implementation in Python.
This book is intended for Python developers who are studying data structures and algorithms at a beginner or intermediate level, as chapters provide practical examples and an easy approach to complex algorithms. It may also be useful for engineering students on a course in data structures and algorithms, as it covers almost all the algorithms, concepts, and designs that are studied. This book is also designed for software developers who want to deploy various applications using a specific data structures, as this book provides efficient ways to store relevant data.
It is assumed that the reader has some basic knowledge of the Python; however, it is not necessary, as we provide a quick overview of Python and object-oriented concepts.
Chapter 1, Python Data Types and Structures, introduces the basic data types and structures in Python. It will provide an overview of several built-in data structures available in Python that are pivotal for understanding the internals of data structures.
Chapter 2, Introduction to Algorithm Design, provides details about algorithm design issues and techniques. This chapter will compare different analyzing algorithms via running time and computation complexity, which will tell us which ones perform better than others for a given problem.
Chapter 3, Algorithm Design Techniques and Strategies
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