Programming F#: A Comprehensive Guide for Writing Simple Code to Solve Complex Problems (平装)
点此进入淘宝搜索页搜索分類: 图书,进口原版书,Computers & Internet（计算机与网络）,Programming（应用程序）,Software Design, Testing & Engineering,Software Development,
品牌: Brenda Smith
基本信息出版社:O'REILLY & ASSOC INC (2009年10月1日)平装:416页ISBN:0596153643条形码:9780596153649产品尺寸及重量:23.2 x 18 x 2.2 cm ; 540 gASIN:0596153643商品描述内容简介Why learn F#? This multi-paradigm language not only offers you an enormous productivity boost through functional programming, it also lets you develop applications using your existing object-oriented and imperative programming skills. With "Programming F#," you'll quickly discover the many advantages of Microsoft's new language, which includes access to all the great tools and libraries of the .NET platform. Learn how to reap the benefits of functional programming for your next project -- whether it's quantitative computing, large-scale data exploration, or even a pursuit of your own. With this comprehensive guide, F# team member Chris Smith gives you a head start on the fundamentals and advanced concepts of the F# language. Get a clear understanding of functional programming, and how you can use it to simplify code Gain a solid understanding of the language's core syntax, including object-oriented and imperative styles Simplify concurrent and parallel programming with F# Asynchronous Workflows and the Parallel Extensions to .NET Learn advanced F# concepts, such as quotations and computation expressions "This book emphasizes simple, clear explanations of the foundational elements of F#, always with an eye on the enjoyment that comes from programming in general, and programming with F# in particular." "Don Syme, Principal Researcher and F# Designer, Microsoft Research"媒体推荐With this in-depth tutorial, F# team member Smith introduces readers to Microsoft's new multi-paradigm programming language. Readers will not only learn how to use F# as a general-purpose language similar to C# and Visual Basic, but as a functional programming language for developing concurrent and math-intensive applications on the .NET platform.
