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    Spring MVC: Designing Real-World Web Applications. Click here to enter text Alex Bretet, Shameer Kunjumohamed, Geoffroy Warin, Hamidreza Sattari

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Spring MVC: Designing Real-World Web Applications. Click here to enter text Alex Bretet, Shameer Kunjumohamed, Geoffroy Warin, Hamidreza Sattari - okladka książki

    Spring MVC: Designing Real-World Web Applications. Click here to enter text Alex Bretet, Shameer Kunjumohamed, Geoffroy Warin, Hamidreza Sattari - okladka książki

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    Autorzy:
    Alex Bretet, Shameer Kunjumohamed, Geoffroy Warin, Hamidreza Sattari
    Wydawnictwo:
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    Spring MVC helps you build flexible and loosely coupled web applications. The Spring MVC Framework is designed in such a way that every piece of logic and functionality is highly configurable. This Learning Path aims to make you an expert in designing web applications with Spring MVC 4.

    In our first module, we’ll begin with an introduction to the Spring framework. You'll then learn aspect-oriented programming. Packed with real-world examples, you’ll get an insight into how you can use Spring Expression Language in your applications to make them easier to manage and maintain.

    In the second module, you'll learn everything you need to build modern Spring-based enterprise web applications. From practical development techniques and useful tools from the wider Spring ecosystem, to the new JEE standards, the impact of JavaScript, and even the Internet of Things, you'll feel confident that you can deploy Spring for an impressive range of creative purposes.

    In the final module, you'll find out how to take advantage of Spring MVC's advanced features - essential if you are to properly master the framework. To do this you'll investigate the inner mechanics of Spring MVC, and how they tie into to the broader principles that inform many modern web architectures. With further guidance on how to test, secure, and optimize your application, as well as designing RESTful services, you'll very quickly be ready to use Spring in your next web project.

    This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:

    • Spring Essentials by Shameer Kunjumohamed, Hamidreza Sattari
    • Spring MVC Cookbook by Alex Bretet
    • Mastering Spring MVC 4 by Geoffroy Warin

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    O autorach książki

    Alex Bretet is a certified Java and Spring Integration engineer. Currently working at Thunderhead, a pioneer company and global actor among SaaS providers, he has a rich developer background from different industries including energy, insurance, finance, and the Internet. Captivated by the Internet's communication capabilities and by start-ups, he believes in skunk development outcomes (when groups of like-minded people together achieve unbelievable targets on tight deadlines). He also defends a number of open source initiatives and indeed Spring technologies, whose pragmatism constantly disrupts the most established practices and offers valuable alternatives for the benefit of all. You can contact him at alex.bretet@gmail.com or follow him on Twitter at @abretet
    Shameer Kunjumohamed is a software architect specializing in Java-based enterprise application integrations, SOA, and the cloud. Besides Java, he is well-versed in the Node.js and Microsoft .NET platforms. He is interested in JavaScript MVC frameworks such as EmberJS, AngularJS, and ReactJS.
    Hamidreza Sattari started software development in 2002. He has been involved in several areas of Software Engineering--programming to architecture to management. His area of interest has been integration among enterprise applications and SOA.

    Hamidreza Sattari earned his MSc in Software Engineering in 2008 from Herriot Watt University, UK and his Bachelor's Degree in 1994 in Electrical Engineering (Electronics) from Tehran Azad University, Iran. In recent years his research area of interest has been scientific data mining, using algorithms and statistical techniques in pattern recognition, estimation and machine learning.

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