Pro DLR in .NET 4 [recurso electrónico] / by Chaur Wu.

Por: Wu, Chaur [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: Texto

TextoEditor: Berkeley, CA : Apress : Imprint: Apress, 2010Descripción: XVIII, 328 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781430230670Tema(s): Computer science | Computer Science | Computer Science, general | Programming Languages, Compilers, InterpretersFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 004 Clasificación LoC:QA75.5-76.95Recursos en línea: Libro electrónico Texto

Contenidos:

DLR Fundamentals -- to DLR -- DLR Expression -- Late Binding and Caching -- Late Binding and Interoperability -- Dynamic Objects -- DLR Hosting API -- Applying the DLR -- DLR and Aspect-Oriented Programming -- Metaprogramming -- Stitch — A DSL for Hosting Languages -- Application Scripting -- DLR in Silverlight -- Dynamic Languages on JVM.

En: Springer eBooksResumen: Microsoft's Dynamic Language Runtime (DLR) is a platform for running dynamic languages such as Ruby and Python on an equal footing with compiled languages such as C#. Furthermore, the runtime is the foundation for many useful software design and architecture techniques you can apply as you develop your .NET applications. Pro DLR in .NET 4 introduces you to the DLR, showing how you can use it to write software that combines dynamic and static languages, letting you choose the right tool for the job. You will learn the core DLR components such as LINQ expressions, call sites, binders, and dynamic objects—and how they work together to achieve language interoperability. You'll see how to mix and match objects and functions from compiled and dynamic languages, so you can write code in the language of your choice while taking advantage of libraries written in other languages. And you'll discover how the various languages interoperate behind the scenes. With the basics out of the way, the book then details the various ways you can leverage the DLR in the design and architecture of your software applications. You'll learn about runtime code generation, which lets you avoid much of the boilerplate code typical in layered business applications. You'll see practical examples of using the DLR to build domain-specific languages, and you'll learn how the DLR helps enable aspect-oriented programming.

Existencias ( 1 )
Notas de título ( 3 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro Electrónico	Biblioteca Electrónica	Colección de Libros Electrónicos	QA75.5 -76.95 (Browse shelf(Abre debajo))	1	No para préstamo		370861-2001

Microsoft's Dynamic Language Runtime (DLR) is a platform for running dynamic languages such as Ruby and Python on an equal footing with compiled languages such as C#. Furthermore, the runtime is the foundation for many useful software design and architecture techniques you can apply as you develop your .NET applications. Pro DLR in .NET 4 introduces you to the DLR, showing how you can use it to write software that combines dynamic and static languages, letting you choose the right tool for the job. You will learn the core DLR components such as LINQ expressions, call sites, binders, and dynamic objects—and how they work together to achieve language interoperability. You'll see how to mix and match objects and functions from compiled and dynamic languages, so you can write code in the language of your choice while taking advantage of libraries written in other languages. And you'll discover how the various languages interoperate behind the scenes. With the basics out of the way, the book then details the various ways you can leverage the DLR in the design and architecture of your software applications. You'll learn about runtime code generation, which lets you avoid much of the boilerplate code typical in layered business applications. You'll see practical examples of using the DLR to build domain-specific languages, and you'll learn how the DLR helps enable aspect-oriented programming.