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Data Structures And Algorithms Using Java
With an accessible writing style and manageable amount of content, Data Structures and Algorithms Using Java is the ideal text for your course. This outstanding text correlates to the recommended syllabus put forth by the Association of Computing Machinery standard curriculum guidelines. The author has produced a resource that is more readable and instructional than any other, without compromising the scope of the ACM CS103, Data Structures and Algorithms, course material. The text’s unique, student-friendly pedagogical approach and organizational structure will keep students engaged in the process of self-directed investigative discovery both inside and outside the classroom.The pedagogical features of the text, based on the author’s 30 years of teaching experience, include succinct code examples, a unique common template used as the organizational basis of each chapter, the use of pseudocode to present the major algorithms developed in the text, nearly 300 carefully designed figures, and a concise review of Java.
R 6,148.00
Schaum's Outline of Data Structures with Java, 2ed
Tough Test Questions? Missed Lectures? Not Enough Time?Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. This Schaum's Outline gives youPractice problems with full explanations that reinforce knowledgeCoverage of the most up-to-date developments in your course fieldIn-depth review of practices and applicationsFully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!Schaum's Outlines-Problem Solved.
R 967.35
Data Structures and Algorithms with JavaScript
As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms - including linked lists, stacks, queues, and graphs - within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included.This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms
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Data Structures and Algorithms in Python
Based on the authors’ market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by respected authors. Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.
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Hands-On Data Structures and Algorithms with Kotlin
Understand and solve complex computational problems and write efficient code with KotlinKey FeaturesLearn about important data structures such as lists, arrays, queues, and stacksDesign custom algorithms for real-life implementationsIdentify suitable tools for different scenarios and deliver immediate resultsBook DescriptionData structures and algorithms are more than just theoretical concepts. They help you become familiar with computational methods for solving problems and writing logical code. Equipped with this knowledge, you can write efficient programs that run faster and use less memory.Hands-On Data Structures and Algorithms with Kotlin book starts with the basics of algorithms and data structures, helping you get to grips with the fundamentals and measure complexity. You'll then move on to exploring the basics of functional programming while getting used to thinking recursively. Packed with plenty of examples along the way, this book will help you grasp each concept easily. In addition to this, you'll get a clear understanding of how the data structures in Kotlin's collection framework work internally.By the end of this book, you will be able to apply the theory of data structures and algorithms to work out real-world problems.What you will learnUnderstand the basic principles of algorithms and data structuresExplore general-purpose data structures with arrays and linked listsGet to grips with the basics of stacks, queues, and double-ended queuesUnderstand functional programming and related data structuresUse performant searching and efficient sortingUncover how Kotlin's collection framework functionsBecome adept at implementing different types of mapsWho this book is forIf you're a Kotlin developer who wants to learn the intricacies of implementing data structures and algorithms for scalable application development, this book is for you.
R 1,335.00
Learning JavaScript Data Structures and Algorithms -
Hone your skills by learning classic data structures and algorithms in JavaScriptAbout This Book• Understand common data structures and the associated algorithms, as well as the context in which they are used.• Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs.• All concepts are explained in an easy way, followed by examples.Who This Book Is ForIf you are a student of Computer Science or are at the start of your technology career and want to explore JavaScript's optimum ability, this book is for you. You need a basic knowledge of JavaScript and programming logic to start having fun with algorithms.What You Will Learn• Declare, initialize, add, and remove items from arrays, stacks, and queues• Get the knack of using algorithms such as DFS (Depth-first Search) and BFS (Breadth-First Search) for the most complex data structures• Harness the power of creating linked lists, doubly linked lists, and circular linked lists• Store unique elements with hash tables, dictionaries, and sets• Use binary trees and binary search trees• Sort data structures using a range of algorithms such as bubble sort, insertion sort, and quick sortIn DetailThis book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter, we'll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks.Toward the end of the book, you'll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches.Style and approachThis book gets straight to the point, providing you with examples of how a data structure or algorithm can be used and giving you real-world applications of the algorithm in JavaScript. With real-world use cases associated with each data structure, the book explains which data structure should be used to achieve the desired results in the real world.
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Learning JavaScript Data Structures and Algorithms
If you are a JavaScript developer or someone who has basic knowledge of JavaScript, and want to explore its optimum ability, this fast-paced book is definitely for you. Programming logic is the only thing you need to know to start having fun with algorithms.
R 1,661.00
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Java in Distributed Systems
Large and complex software systems, such as Internet applications, depend on distributed applications. Although Java has helped reduce the complexity of distributed systems, developers still have to contend with diverse hardware platforms, remote communication over networks, and system failures. Java in Distributed Systems provides a comprehensive guide for anyone wishing to deepen their knowledge of Java in distributed applications. Beginning with a tutorial guide to distributed programming in the Java environment, it shows you how building blocks from threads to Jini can help you to fulfil Sun's vision, that 'the Network is the Computer'. It then goes on to focus on aspects that are still challenging researchers such as concurrency, distribution, and persistence. Key Features: - One of the few books to focus specifically on Java for building distributed applications - Coverage includes threads & sockets, RMI, CORBA, Voyager, Mobile agents, JDBC, object-oriented databases, Java spaces and Jini - Includes advanced chapters on the cutting edge of Java language development, including the author's own proposed Dejay (Distributed Java), an open-source project that offers a unified approach to concurrency, distribution and persistence
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Java Foundation Classes in a Nutshell - A Desktop Quick Reference
Java Foundation Classes in a Nutshell is an indispensable quick reference for Java programmers who are writing applications that use graphics or graphical user interfaces. The author of the bestselling Java in a Nutshell has written fast-paced introductions to the Java APIs that comprise the Java Foundation Classes (JFC), such as the Swing GUI components and Java 2D, so that you can start using these exciting new technologies right away. This book also includes O'Reilly's classic-style, quick-reference material for all of the classes in the javax.swing and java.awt packages and their numerous subpackages. This reference material covers all of the new JFC classes in the Java 2 platform, as well as the existing Java 1.1 AWT classes. Once you've learned about the JFC, you'll keep this book next to your keyboard for handy reference while you program.Java Foundation Classes in a Nutshell contains the following: * An overview of the architecture of graphical user interfaces built with both the new Swing API and the older AWT * An introduction to the important components and application services provided by the Swing API * An comprehensive explanation of the features of the new Java 2D graphics API * A complete quick reference for the graphics- and GUI-related classes in the Java 2 platform This book is part of the two-volume set of quick references that every Java programmer needs. It is an essential companion to Java in a Nutshell, 3rd Edition, which covers the key nongraphical APIs in Java 1.2. A third volume, Java Enterprise in a Nutshell, focuses on the Java Enterprise APIs and is of interest to programmers working on server-side or enterprise Java applications.
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Java and XML 3e
"Java and XML, 3rd Edition", shows you how to cut through all the hype about XML and put it to work. It teaches you how to use the APIs, tools, and tricks of XML to build real-world applications. The result is a new approach to managing information that touches everything from configuration files to web sites. After two chapters on XML basics, including XPath, XSL, DTDs, and XML Schema, the rest of the book focuses on using XML from your Java applications. This third edition of "Java and XML" covers all major Java XML processing libraries, including full coverage of the SAX, DOM, StAX, JDOM, and dom4j APIs as well as the latest version of the Java API for XML Processing (JAXP) and Java Architecture for XML Binding (JAXB). The chapters on web technology have been entirely rewritten to focus on the today's most relevant topics: syndicating content with RSS and creating Web 2.0 applications. You'll learn how to create, read, and modify RSS feeds for syndicated content and use XML to power the next generation of websites with Ajax and Adobe Flash.It includes topics such as: the basics of XML, including DTDs, namespaces, XML Schema, XPath, and Transformations; the SAX API, including all handlers, filters, and writers; the DOM API, including DOM Level 2, Level 3, and the DOM HTML module; the JDOM API, including the core and a look at XPath support; the StAX API, including StAX factories, producing documents and XMLPull; Data Binding with JAXB, using the new JAXB 2.0 annotations; Web syndication and podcasting with RSS; and, XML on the Presentation Layer, paying attention to Ajax and Flash applications. If you are developing with Java and need to use XML, or think that you will be in the future; if you're involved in the new peer-to-peer movement, messaging, or web services; or if you're developing software for electronic commerce, "Java and XML" will be an indispensable companion.
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