Poornachandra Sarang – författare
575 kr
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Develop, Compile, and Debug High-Performance Java Applications
Take your Java skills to the next level using the expert programming techniques contained in this Oracle Press guide. Featuring real-world code samples and detailed instructions, Java Programming demonstrates how to fully utilize the powerful features of Java SE 7. Find out how to design multithreaded and network applications, integrate structured exception handling, use Java libraries, and develop Swing-based GUIs and applets. Inheritance, generics, and utility classes are are covered in this practical resource.
Create custom classes, methods, arrays, and operatorsControl program flow using conditional statementsHandle multithreaded, network, and I/O programmingLearn new constructs in multithreadingIncorporate enums, annotations, and autoboxingRecover from errors, input failures, and exceptionsUse Java Swing to build lightweight GUIs and appletsCut development time using the collections frameworkWork with the latest Java libraries and utility classes598 kr
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Pro Apache XML thoroughly introduces several subprojects found under the Web Services–driven API umbrella. The book begins with a concise introduction to XML and Web Services. Subsequent chapters devote themselves to specific subprojects covering their purposes, APIs, implementation, and practical uses through appropriate code examples. Additional material includes
Introductions to several of the Apache Foundation''s hottest projects, including Xerces, Axis, and Xindice Building XML–driven websites using the popular Cocoon project Transforming XML–based documents into a variety of formats, including PDF, SVG, and PS, using the Formatting Objects Processor (FOP) projectYou''lll learn to perform tasks like validation, parsing, transformation, and storage and how to work with this information through a programming interface. You may either read this book from cover to cover or jump to any desired subproject for a detailed study of its implementation. All programming examples use the Java programming language.
478 kr
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616 kr
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786 kr
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Liferay Portal is the leading open-source enterprise portal framework that uses Java and Web 2.0 technologies.
Web portals often function as a point of access to information on the World Wide Web. Web portals, such as Yahoo!, present information from diverse sources in a unified way. Aside from the search engine standard, web portals offer other services such as e–mail, news, stock prices, infotainment, and various other features. Portals provide a means for enterprises to supply a consistent look and feel with access control and procedures for multiple applications that otherwise would have been separate entities altogether.
So, how do developers bring existing applications, as well as integrate content management systems and search engines, into a portal? And how do developers get started with the Liferay Portal engine? In Practical Liferay: Java–based Portal Applications Development, Dr. Poornachandra Sarang answers these questions and more.
This book is for those who want to learn how to use Liferay to develop vertical or company–specific web portals and beyond. The book will serve as a practical guide to learning Liferay and developing real–world web portals.
667 kr
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865 kr
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478 kr
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723 kr
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This book is aimed at architects and developers in the design, implementation, and integration phases of advanced information systems and e-business solutions, developing business processes and dealing with the issues of composition, orchestration, transactions, coordination, and security. The book presumes knowledge of XML and web services, web services development (either on J2EE or .NET), and multi-tier architecture
494 kr
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865 kr
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This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single “Cheat Sheet”.
The challenge for a data scientist is to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designed to do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book. Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big.
625 kr
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671 kr
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561 kr
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708 kr
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1 202 kr
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