JBoss ESB Beginner's guide / Kevin Conner

Public ISBD Titre : JBoss ESB Beginner's guide : A comprehensive, practical guide to developing service-based applications using the Open Source JBoss Enterprise Service Bus Type de document : texte imprimé Auteurs : Kevin Conner, Auteur Editeur : Birmingham : Packt Publishing Année de publication : 2012 Importance : 1 vol. (VII-297 p.) Présentation : couv. ill. en coul. Format : 24 cm ISBN/ISSN/EAN : 978-1-84951-658-7 Prix : 30.99 GBP Mots-clés : Progiciels -- Développement  Gestion -- Informatique  Serveur Java Index. décimale : 004.46 Sécurité Résumé : About This Book Develop your own service-based applications, from simple deployments through to complex legacy integrations Learn how services can communicate with each other and the benefits to be gained from loose coupling Contains clear, practical instructions for service development, highlighted through the use of numerous working examples Who This Book Is For This book is intended for Java programmers although you don’t need previous experience with middleware such as application servers or ESBs. What You Will Learn Install, configure, administer, start and stop the JBoss Application Server (AS) and then deploy JBoss ESB onto JBoss AS. Run the JBoss ESB example “quickstart” sample applications, so that you understand the applications’ output, and how to debug the JBoss ESB application failures Build custom JBoss ESB applications with JBoss ESB’s out-of-the-box actions or your own action code Use a service registry to provide access to your services and store and access your metadata Integrate your custom application with other applications through the protocols supported by JBoss ESB gateway listeners See how the behavior of services can alter through content-based routing and message transformation Use other JBoss open source projects such as the JBoss AS and JBDS with JBoss ESB to create, deploy, and administer services Integrate existing web services with your applications’ services over JBoss ESB In Detail You may often have wondered if there is a better way to integrate disparate applications than error-prone "glue code". JBoss ESB is just that solution as it can help solve common but difficult problems: writing new code that can be re-used and maintained, and integrating together new and old systems. JBoss ESB takes care of routing and processing service requests, leaving you to concentrate on your system's design and development. The JBoss ESB Beginner’s Guide gets you up and running quickly with JBoss ESB to build your own service-based applications, with enhanced communication and organization. You will learn how to create new applications or to integrate combinations of new and legacy applications. Detailed examples get you creating your own services, and deploying and administering them with other JBoss Open Source tools. Through hands-on examples, this book shows you how JBoss ESB enables you to design your system as services that are loosely coupled together by sending and receiving messages. Your services can execute your own custom code, or make use of JBoss ESB’s extensive set of out-of-the-box actions to perform specific tasks. The JBoss ESB Beginner’s Guide shows you the tools you can use to build re-usable and maintainable service-based applications with JBoss ESB, and teaches you by example how to use these tools. Authors Len DiMaggio Len DiMaggio stumbled into computer programming at business school and has never looked back. He considers himself very lucky to have always worked with and for fun and interesting people during his over two decades tracking elusive software bugs. One of his earliest work experiences was accompanying his first manager on long walks to collect blunt instruments to be used to “break in” new technical user documents. Len has worked for some of the better known pioneering technical companies such as DEC, BBN, GTE, Rational, IBM and now JBoss by Red Hat. Len is the software test team lead for the open source JBoss Service Oriented Architecture Platform (SOAP) which is built on Jboss ESB. Kevin Conner Kevin is the Platform Architect for the SOA platform within JBoss, a division of Red Hat. After graduating from Newcastle University Kevin worked as a kernel programmer with Integrated Micro Products, developing fault tolerant network drivers. IMP were later acquired by Sun Microsystems where he was to discover Java. He has over fifteen years experience of Java, predominately Enterprise technologies, which he has used to develop software for technical, financial and local government clients. Before joining JBoss he was a Senior Engineer with Arjuna Technologies, working on the transaction products. Magesh Kumar B Magesh Kumar B. is a Senior Software Engineer at JBoss a division of Red Hat. He has a Masters in Computer Applications from Coimbatore Institute of Technology. His passion is coding in Java and he has architected many enterprise applications prior to Red Hat. His project contributions include JBoss WS and JBoss Portal. His current projects are JBoss ESB and SwitchYard. He hails from Ooty and lives in Bangalore, India with his wife, three kids and his parents. You can reach him at mageshbk@gmail.com. This is his first book. Tom Cunningham Tom Cunningham is currently the project lead for JBossESB and has worked for Red Hat since 2007 on JBoss ESB and SwitchYard. Tom is an active committer on the Apache jUDDI and Apache Scout projects. Tom received a B.S. in Computer Science from Georgetown University and a M.S. in Computer Science from Arizona State University and has worked in software development for over 14 years. I'd like to thank my sons Ben and Nate, my wife Sonia, and my parents for their support in writing this book. Note de contenu : Table of Contents 1: GETTING STARTED 2: DEPLOYING YOUR SERVICES TO THE ESB 3: UNDERSTANDING SERVICES 4: JBOSS ESB SERVICE ACTIONS 5: MESSAGE DELIVERY ON THE SERVICE BUS 6: GATEWAYS AND INTEGRATING WITH EXTERNAL CLIENTS 7: HOW ESB USES THE REGISTRY TO KEEP TRACK OF SERVICES 8: INTEGRATING WEB SERVICES WITH ESB Permalink : ./index.php?lvl=notice_display&id=34203 JBoss ESB Beginner's guide : A comprehensive, practical guide to developing service-based applications using the Open Source JBoss Enterprise Service Bus [texte imprimé] / Kevin Conner, Auteur . - Birmingham : Packt Publishing, 2012 . - 1 vol. (VII-297 p.) : couv. ill. en coul. ; 24 cm. ISBN : 978-1-84951-658-7 : 30.99 GBP Mots-clés : Progiciels -- Développement  Gestion -- Informatique  Serveur Java Index. décimale : 004.46 Sécurité Résumé : About This Book Develop your own service-based applications, from simple deployments through to complex legacy integrations Learn how services can communicate with each other and the benefits to be gained from loose coupling Contains clear, practical instructions for service development, highlighted through the use of numerous working examples Who This Book Is For This book is intended for Java programmers although you don’t need previous experience with middleware such as application servers or ESBs. What You Will Learn Install, configure, administer, start and stop the JBoss Application Server (AS) and then deploy JBoss ESB onto JBoss AS. Run the JBoss ESB example “quickstart” sample applications, so that you understand the applications’ output, and how to debug the JBoss ESB application failures Build custom JBoss ESB applications with JBoss ESB’s out-of-the-box actions or your own action code Use a service registry to provide access to your services and store and access your metadata Integrate your custom application with other applications through the protocols supported by JBoss ESB gateway listeners See how the behavior of services can alter through content-based routing and message transformation Use other JBoss open source projects such as the JBoss AS and JBDS with JBoss ESB to create, deploy, and administer services Integrate existing web services with your applications’ services over JBoss ESB In Detail You may often have wondered if there is a better way to integrate disparate applications than error-prone "glue code". JBoss ESB is just that solution as it can help solve common but difficult problems: writing new code that can be re-used and maintained, and integrating together new and old systems. JBoss ESB takes care of routing and processing service requests, leaving you to concentrate on your system's design and development. The JBoss ESB Beginner’s Guide gets you up and running quickly with JBoss ESB to build your own service-based applications, with enhanced communication and organization. You will learn how to create new applications or to integrate combinations of new and legacy applications. Detailed examples get you creating your own services, and deploying and administering them with other JBoss Open Source tools. Through hands-on examples, this book shows you how JBoss ESB enables you to design your system as services that are loosely coupled together by sending and receiving messages. Your services can execute your own custom code, or make use of JBoss ESB’s extensive set of out-of-the-box actions to perform specific tasks. The JBoss ESB Beginner’s Guide shows you the tools you can use to build re-usable and maintainable service-based applications with JBoss ESB, and teaches you by example how to use these tools. Authors Len DiMaggio Len DiMaggio stumbled into computer programming at business school and has never looked back. He considers himself very lucky to have always worked with and for fun and interesting people during his over two decades tracking elusive software bugs. One of his earliest work experiences was accompanying his first manager on long walks to collect blunt instruments to be used to “break in” new technical user documents. Len has worked for some of the better known pioneering technical companies such as DEC, BBN, GTE, Rational, IBM and now JBoss by Red Hat. Len is the software test team lead for the open source JBoss Service Oriented Architecture Platform (SOAP) which is built on Jboss ESB. Kevin Conner Kevin is the Platform Architect for the SOA platform within JBoss, a division of Red Hat. After graduating from Newcastle University Kevin worked as a kernel programmer with Integrated Micro Products, developing fault tolerant network drivers. IMP were later acquired by Sun Microsystems where he was to discover Java. He has over fifteen years experience of Java, predominately Enterprise technologies, which he has used to develop software for technical, financial and local government clients. Before joining JBoss he was a Senior Engineer with Arjuna Technologies, working on the transaction products. Magesh Kumar B Magesh Kumar B. is a Senior Software Engineer at JBoss a division of Red Hat. He has a Masters in Computer Applications from Coimbatore Institute of Technology. His passion is coding in Java and he has architected many enterprise applications prior to Red Hat. His project contributions include JBoss WS and JBoss Portal. His current projects are JBoss ESB and SwitchYard. He hails from Ooty and lives in Bangalore, India with his wife, three kids and his parents. You can reach him at mageshbk@gmail.com. This is his first book. Tom Cunningham Tom Cunningham is currently the project lead for JBossESB and has worked for Red Hat since 2007 on JBoss ESB and SwitchYard. Tom is an active committer on the Apache jUDDI and Apache Scout projects. Tom received a B.S. in Computer Science from Georgetown University and a M.S. in Computer Science from Arizona State University and has worked in software development for over 14 years. I'd like to thank my sons Ben and Nate, my wife Sonia, and my parents for their support in writing this book. Note de contenu : Table of Contents 1: GETTING STARTED 2: DEPLOYING YOUR SERVICES TO THE ESB 3: UNDERSTANDING SERVICES 4: JBOSS ESB SERVICE ACTIONS 5: MESSAGE DELIVERY ON THE SERVICE BUS 6: GATEWAYS AND INTEGRATING WITH EXTERNAL CLIENTS 7: HOW ESB USES THE REGISTRY TO KEEP TRACK OF SERVICES 8: INTEGRATING WEB SERVICES WITH ESB Permalink : ./index.php?lvl=notice_display&id=34203

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Python machine learning / Sebastian Raschka

Public ISBD Titre : Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow 2 Type de document : texte imprimé Auteurs : Sebastian Raschka, Auteur ; Vahid Mirjalili, Auteur Mention d'édition : Third edition Editeur : Birmingham : Packt Publishing Année de publication : 2019 Importance : 1 vol. (XXI-741 p.) Présentation : graph. Format : 24 cm ISBN/ISSN/EAN : 978-1-78995-575-0 Langues : Anglais (eng) Index. décimale : 004.8 Intelligence artificielle Résumé : Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learningwith Python. It acts as both a clear step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself. This new third edition is updated for TensorFlow 2 and the latest additions to scikit-learn. It's expanded to cover two cutting-edge machine learning techniques : reinforcement learning and generative adversarial networks (GANs). This book is your companion, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What you will learn : Master the frameworks, models, and techniques that enable machines to 'learn' from data ; Use scikit-learn for machine learning and TensorFlow for deep learning ; Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more ; Build and train neural networks, GANs, and other models Add machine intelligence to web applications ; Clean and prepare data for machine learning ; Classify images using deep convolutional neural networks ; Understand best practices for evaluating and tuning models ; Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering ; Dig deeper into textual and social media data using sentiment analysis. Permalink : ./index.php?lvl=notice_display&id=103938 Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow 2 [texte imprimé] / Sebastian Raschka, Auteur ; Vahid Mirjalili, Auteur  . -  Third edition . - Birmingham : Packt Publishing, 2019 . - 1 vol. (XXI-741 p.) : graph. ; 24 cm. ISBN : 978-1-78995-575-0 Langues : Anglais (eng) Index. décimale : 004.8 Intelligence artificielle Résumé : Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learningwith Python. It acts as both a clear step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself. This new third edition is updated for TensorFlow 2 and the latest additions to scikit-learn. It's expanded to cover two cutting-edge machine learning techniques : reinforcement learning and generative adversarial networks (GANs). This book is your companion, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What you will learn : Master the frameworks, models, and techniques that enable machines to 'learn' from data ; Use scikit-learn for machine learning and TensorFlow for deep learning ; Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more ; Build and train neural networks, GANs, and other models Add machine intelligence to web applications ; Clean and prepare data for machine learning ; Classify images using deep convolutional neural networks ; Understand best practices for evaluating and tuning models ; Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering ; Dig deeper into textual and social media data using sentiment analysis. Permalink : ./index.php?lvl=notice_display&id=103938

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