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Bluetooth For Java

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Bluetooth is a standard for wireless integration of small devices. "Bluetooth for Java" is specifically about using Java to program Bluetooth-enabled devices. The specification for Java and Bluetooth was released in February. However, vendors are implementing the specification now and most won't be ready/available until Fall 2002.Bluetooth is a technology for wireless communication. It is similar in functionality to the way laptops connect to the Internet from home/office, but is typically used for short burst communications instead of a continuous connection. Because of this difference, Bluetooth is more typically found supported in wireless phones and personal devices.What "Bluetooth for Java" offers is not an overview of what Bluetooth is. Instead, Bruce Hopkins and Ranjith Antony describe how to develop wireless Java applications using Bluetooth for a variety of platforms. This includes an API overview of the Java library, development of Bluetooth-based services, highlights of security concerns, and walkthroughs for development with some of the different tools available. Programs will not be just J2ME (micro devices) based, but will also be for J2SE (client/desktop).
Category: Technology. ISBN: 9781590590782

Java: The Good Parts

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What if you could condense Java down to its very best features and build better applications with that simpler version? In this book, veteran Sun Labs engineer Jim Waldo reveals which parts of Java are most useful, and why those features make Java among the best programming languages available. Every language eventually builds up crud, Java included. The core language has become increasingly large and complex, and the libraries associated with it have grown even more. Learn how to take advantage of Java's best features by working with an example application throughout the book. You may not like some of the features Jim Waldo considers good, but they'll actually help you write better code. Learn how the type system and packages help you build large-scale software Use exceptions to make code more reliable and easier to maintain Manage memory automatically with garbage collection Discover how the JVM provides portability, security, and nearly bug-free code Use Javadoc to embed documentation within the code Take advantage of reusable data structures in the collections library Use Java RMI to move code and data in a distributed network Learn how Java concurrency constructs let you exploit multicore processors
Category: Computers. ISBN: 9780596803735

Java Network Programming

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This practical guide provides a complete introduction to developing network programs with Java. You'll learn how to use Java's network class library to quickly and easily accomplish common networking tasks such as writing multithreaded servers, encrypting communications, broadcasting to the local network, and posting data to server-side programs. Author Elliotte Rusty Harold provides complete working programs to illustrate the methods and classes he describes. This thoroughly revised fourth edition covers REST, SPDY, asynchronous I/O, and many other recent technologies. Explore protocols that underlie the Internet, such as TCP/IP and UDP/IP Learn how Java's core I/O API handles network input and output Discover how the InetAddress class helps Java programs interact with DNS Locate, identify, and download network resources with Java's URI and URL classes Dive deep into the HTTP protocol, including REST, HTTP headers, and cookies Write servers and network clients, using Java's low-level socket classes Manage many connections at the same time with the nonblocking I/O
Category: Computers. ISBN: 9781449357672

Java Deep Learning Essentials

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Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java About This Book: Go beyond the theory and put Deep Learning into practice with Java; Find out how to build a range of Deep Learning algorithms using a range of leading frameworks including DL4J, Theano and Caffe; Whether you’re a data scientist or Java developer, dive in and find out how to tackle Deep Learning Who This Book Is For. This book is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It would also be good for machine learning users who intend to leverage deep learning in their projects, working within a big data environment. What You Will Learn: Get a practical deep dive into machine learning and deep learning algorithms; Implement machine learning algorithms related to deep learning; Explore neural networks using some of the most popular Deep Learning frameworks; Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms; Discover more deep learning algorithms with Dropout and Convolutional Neural Networks; Gain an insight into the deep learning library DL4J and its practical uses; Get to know device strategies to use deep learning algorithms and libraries in the real world; Explore deep learning further with Theano and Caffe In Detail. AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries - as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It’s something that’s moving beyond the realm of data science - if you’re a Java developer, this book gives you a great opportunity to expand your skillset. Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you’ve got to grips with the fundamental mathematical principles, you’ll start exploring neural networks and identify how to tackle challenges in large networks using advanced algorithms. You will learn how to use the DL4J library and apply Deep Learning to a range of real-world use cases. Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this book will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights. As a bonus, you’ll also be able to get to grips with Theano and Caffe, two of the most important tools in Deep Learning today. By the end of the book, you&
Category: Computers. ISBN: 9781785282195

Java Cryptography Extensions

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For a long time, there has been a need for a practical, down-to-earth developers book for the Java Cryptography Extension. I am very happy to see there is now a book that can answer many of the technical questions that developers, managers, and researchers have about such a critical topic. I am sure that this book will contribute greatly to the success of securing Java applications and deployments for e-business. --Anthony Nadalin, Java Security Lead Architect, IBM For many Java developers and software engineers, cryptography is an "on-demand" programming exercise, where cryptographic concepts are shelved until the next project requires renewed focus. But considerations for cryptography must be made early on in the design process and it's imperative that developers know what kinds of solutions exist. One of Java's solutions to help bridge the gap between academic research and real-world problem solving comes in the form of a well-defined architecture for implementing cryptographic solutions. However, to use the architecture and its extensions, it is important to recognize the pros and cons of different cryptographic algorithms and to know how to implement various devices like key agreements, digital signatures, and message digests, to name a few. In Java Cryptography Extensions (JCE), cryptography is discussed at the level that developers need to know to work with the JCE and with their own applications but that doesn't overwhelm by packing in details unimportant to the busy professional. The JCE is explored using numerous code examples and instructional detail, with clearly presented sections on each aspect of the Java library. An online open-source cryptography toolkit and the code for all of the examples further reinforces the concepts covered within the book. No other resource presents so concisely or effectively the exact material needed to begin utilizing the JCE. Written by a seasoned veteran of both cryptography and server-side programming Covers the architecture of the JCE, symmetric ciphers, asymmetric ciphers, message digests, message authentication codes, digital signatures, and managing keys and certificates
Category: Computers. ISBN: 9780127427515

MongoDB for Java Developers

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Design, build, and deliver efficient Java applications using the most advanced NoSQL databaseAbout This Book Reuse the skills you have acquired through Hibernate or Spring to promote your applications to use NoSQL storage Explore the list of libraries that are already available to assist you in developing Java EE applications with MongoDB A step-by-step tutorial to create leaner and faster applications using MongoDBIn DetailThe NoSQL movement is growing in relevance, attracting more and more developers. The MongoDB database is a well-recognized rising star in the NoSQL world. It is a document database, which allows data persistence and enables you to query data in a nested state without any schema constraint and complex joins between documents.This book provides all the knowledge you need to make MongoDB fit in your application schema, at the best of its capabilities. It starts from a basic introduction to the driver that can be used to perform some low-level interaction with the storage. Then it moves to use different patterns to abstract the persistence layer into your applications, starting from the flexible Google JSON library to the Hibernate OGM Framework and finally landing on the Spring data framework.By the end of this book, you will know everything you need to use MongoDB in your Java applications.What You Will Learn Install MongoDB and its client tools Set up a basic project that uses a MongoDB driver and perform CRUD operations with it Explore simple strategies for mapping Mongo documents with Java classes Use bulk operations to speed up the creation of massive document Design and develop a Java Enterprise application that uses MongoDB as storage Develop and deploy an application that uses Hibernate OGM as a persistence layer for your entities Use Spring Data and Spring Boot to leverage micro-services using MongoDB as storageWho This Book Is ForThis book is for Java developers and architects that want to learn how to develop Java applications using the most popular NoSQL solution and the use cases of it.Style and approachA simple, tutorial-like approach is used to explain the concepts contained in the book in the simplest possible way. The chapters of this book are arranged so that complexity increases progressively as you gain more experience from the earlier chapters.
Category: Computers. ISBN: 9781785280276

Machine Learning in Java

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Design, build, and deploy your own machine learning applications by leveraging key Java machine learning libraries About This Book: Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries; Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications; Packed with practical advice and tips to help you get to grips with applied machine learning Who This Book Is For. If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. You should be familiar with Java programming and data mining concepts to make the most of this book, but no prior experience with data mining packages is necessary. What You Will Learn: Understand the basic steps of applied machine learning and how to differentiate among various machine learning approaches; Discover key Java machine learning libraries, what each library brings to the table, and what kind of problems each are able to solve; Learn how to implement classification, regression, and clustering; Develop a sustainable strategy for customer retention by predicting likely churn candidates; Build a scalable recommendation engine with Apache Mahout; Apply machine learning to fraud, anomaly, and outlier detection; Experiment with deep learning concepts, algorithms, and the toolbox for deep learning; Write your own activity recognition model for eHealth applications using mobile sensors In Detail. As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. Machine Learning in Java will provide you with the techniques and tools you need to quickly gain insight from complex data. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering. Moving on, you will discover how to detect anomalies and fraud, and ways to perform activity recognition, image recognition, and text analysis. By the end of the book, you will explore related web resources and technologies that will help you take your learning to the next level. By applying the most effective machine learning methods to real-world problems, you will gain hands-on experience that will transform the way you think about data. Style and appro
Category: Computers. ISBN: 9781784396589

JasperReports 3.5 for Java Developers

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Create, Design, Format, and Export Reports with the world's most popular Java reporting library
Category: Computers. ISBN: 9781847198082

Java

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Das vorliegende Buch ist eine Einfhrung in die Programmiersprache Java. In den ersten Kapiteln werden die Grundlagen behandelt: Klassen, Objekte, Interfaces und Pakete. Weitere Kapitel befassen sich mit Applets und Benutzeroberflchen, der Ausnahmebehandlung, der Threadprogrammierung, mit Client-Server-Implementierung und dem Aufruf entfernter Methoden. Alle Sprachkonstrukte und die verwendeten Klassen der Java-Standardbibliothek werden an Beispielen verdeutlicht. An die einzelnen Kapitel schliet sich eine Reihe von bungsaufgaben an. Die kompletten Beispielprogramme und Lsungen zu den bungen befinden sich auf der beiliegenden CD-ROM.
Category: Business. ISBN: 9783540637707

Java

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If you're an experienced programmer, you already have a rock-solid foundation for learning Java. All you need is a resource that takes your experience into account and explains Java's key principles and techniques in an intelligent, efficient way. Java: Practical Guide for Programmers is precisely that resource. Here, you won't have to wade through hundreds of pages of overly simplistic material to learn the basics of Java programming. Instead, you get highly focused instruction in the core elements of Java 1.4, accompanied by carefully chosen examples and line-by-line analyses that are right to the point. You'll be astonished at how soon you can begin productive coding in Java, and how quickly your skills will progress. Written expressly for people who already know a procedural or object-oriented programming language. Takes a concise approach designed to make the most of the experience you already have. Covers the core elements of Java 1.4, including language syntax, OO features, collections, exception handling, input/output, threads, event handling, and Swing components. Filled with incisive coding examples and line-by-line analyses.
Category: Computers. ISBN: 9781558609099
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