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- Herausgeber: Packt Publishing
- Kategorie: Wissenschaft und neue Technologien
- Sprache: Englisch
- Veröffentlichungsjahr: 2017
Explore a new world of data structures and their applications easily with this data structures book. Written by software expert William Smith, you?ll learn how to master basic and advanced data structure concepts. ? Fully understand data structures using Java, C and other common languages ? Work through practical examples and learn real-world applications ? Get to grips with data structure problem solving using case studies
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Table of Contents
Everyday Data Structures
Everyday Data Structures
Copyright © 2017 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, and its dealers and distributors will be held liable for any damages caused or alleged to be 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.
First published: March 2017
Production reference: 1080317
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78712-104-1
www.packtpub.com
Credits
Author
William Smith
Copy Editor
Pranjali Chury
Reviewer
Aditya Abhay Halabe
Project Coordinator
Vaidehi Sawant
Commissioning Editor
David Barnes
Proofreader
Safis Editing
Acquisition Editor
Shweta Pant
Indexer
Aishwarya Gangawane
Content Development EditorZeeyan Pinheiro
Graphics
Abhinash Sahu
Technical Editors
Pavan Ramchandani
Pratish Shetty
Production Coordinator
Shraddha Falebhai
About the Author
William Smith has been writing software since 1988, but he began his professional career in the environmental field with degrees in Environmental Science and Business Administration. While working in this field, William continued writing software as a hobbyist before returning to the University of Maryland for a degree in Computer Science.
William currently works as an independent software engineer and author. He is the owner of Appsmiths LLC, a development and consulting firm concentrating on mobile application and game development using native tools as well as cross-platform tools, such as Xamarin and Monogame.
William lives in rural West Virginia with his beautiful wife and four sons, where they enjoy hunting, fishing, and camping as a family.
About the Reviewer
Aditya Abhay Halabe is a full-stack web application developer at Springer Nature's technology division. His primary technology stack includes Scala, Java, Graph, and document store databases, micro-web services, multiple frameworks, and extreme programming practices. He is passionate about his work and likes to take on new challenges and responsibilities. Previously, Aditya worked as a consultant with Oracle and as a developer with John Deere Ltd.
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Preface
Quite often, as software developers, when presented with a new task or challenge, we find ourselves grabbing code fragments or patterns that we are most familiar with. We typically make this choice because those fragments and patterns represent the shortest path between two points, namely, the client’s requirements and a deadline (also known as payday). However, this approach sometimes prevents us from learning new skills and ideas that will make us better and more efficient developers.
This book was written to give aspiring, new, or relatively inexperienced but busy developers an opportunity to step back and examine some of the fundamental concepts regarding data types and data structures. To that, we will examine how these types and structures are built, how they function, and how we can leverage them in our everyday applications. By doing so, we will gain new knowledge, skills, abilities and, hopefully, get some new ideas on how to leverage these basic components.
What this book covers
Chapter 1, Data Types: Foundational Structures, is a very brief overview of basic data types that comprise of data structures. This will be a rapid overview as even new programmers will already be familiar with some or most of these components. Attention will be paid to applications for each type, best practices, and a high-level comparison of any variations between platforms.
Chapter 2, Arrays: Foundational Collections, introduces you to the array data structure. This discussion will include specific details of the structure, including the typical applications, as well as specific concerns for each language. This is an important foundation chapter, as many of the subsequent data structures are built using arrays.
Chapter 3, Lists: Linear Collections, covers the specific details of the list data structure, including the most common functions associated with lists, typical applications for lists, and specific concerns for each language.
Chapter 4, Stacks: LIFO Collections, introduces you to the stack data structure. In this chapter, the reader will learn the specific details of the structure including the most common functions associated with stacks, typical applications for stacks, and specific concerns for each language.
Chapter 5, Queues: FIFO Collections, talks about the specific details of the queue data structure, including the most common functions associated with queues, typical applications for queues, and specific concerns for each language.
Chapter 6, Dictionaries: Keyed Collections, delves into the specific details of the dictionary data structure, including the most common functions associated with dictionaries, typical applications for dictionaries, and specific concerns for each language.
Chapter 7, Sets: No Duplicates, discusses the specific details of the set data structure, including the foundations of set theory; the most common functions associated with sets, typical applications for sets, and specific concerns for each language.
Chapter 8, Structures: Complex Types, explores the specific details of structures or the struct data structure, including most common functions associated with structs, typical applications for structs, and specific concerns for each language.
Chapter 9, Trees: Non-Linear Structures, talks about the specific details of the abstract tree structure with particular emphasis on the binary tree. This discussion will include an examination of the most common functions associated with trees, typical applications for trees, and specific concerns for each language.
Chapter 10, Heaps: Ordered Trees, delves into the specific details of the heap data structure, including the most common functions associated with heaps, typical applications for heaps, and specific concerns for each language.
Chapter 11, Graphs: Values with Relationships, introduces the specific details of the graph data structure, including the most common functions associated with graphs, typical applications for graphs, and specific concerns for each language.
Chapter 12, Sorting: Bringing Order Out of Chaos, is an advanced chapter that focuses on the concept of sorting. This concept will be introduced by examining several common and popular sorting algorithms, with particular attention being paid to operational cost, common applications, and concerns accompanying each algorithm.
Chapter 13, Searching: Finding What You Need, is also an advanced chapter that focuses on the concept of searching for data within a data structure. This concept will be introduced by examining several common and popular searching algorithms, with particular attention being paid to operational cost, common applications, and concerns for each language.
What you need for this book
In order for you to take full advantage of this book, you will need a modern computer. The code examples in this book are broad enough that you can use a Mac, PC, or even a Linux machine. Ultimately, you will also need a functioning development environment, such as Visual Studio, XCode, Eclipse, or NetBeans, that can run on your chosen development machine.
Who this book is for
This book is for anyone who wants to improve their knowledge and skills in fundamental programming concepts related to data structures. More specifically, this book is for new or self-taught programmers or programmers who range in experience from relatively new to having three or four years of experience. This book focuses on the four languages most commonly used in mobile software development, so the audience also includes those interested in mobile software development. The reader should have a basic understanding of programming, including how to create console applications, and how to use an Integrated Development Environment, or IDE, for their preferred development language
Conventions
In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.
Each chapter of this book will also include a case study, or similar code example, that will be broken down and detailed to explain how the data structure is applied. As such, this book is full of code examples.
A block of code is set as follows:
public boolean isEmpty() { return this._commandStack.empty(); }When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:
func canAddUser(user: EDSUser) -> Bool { if (_users.contains(user)) { return false; } else { return true; }New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "The first validation method, isFull(), checks if our stack has reached its capacity."
We will also discuss algorithms and mathematical concepts related to algorithms in this text. Whenever operational cost values written in Big-O notation are shown they appear as follows: "This is small consolation, however, because the selection sort algorithm still has an O(n2) complexity cost."
Likewise, when mathematical formulas and algorithms are used, they will appear as follows: "Our algorithm will find the smallest value in S[0...4], which in this case is 3, and place it at the beginning of S[0...4]."
Note
Warnings or important notes appear in a box like this.
Tip
Tips and tricks appear like this.
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The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Everyday-Data-Structures. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!
Errata
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To view the previously submitted errata, go to https://www.packtpub.com/books/content/support and enter the name of the book in the search field. The required information will appear under the Errata section.
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Questions
If you have a problem with any aspect of this book, you can contact us at [email protected], and we will do our best to address the problem.
