掌握Java 8的函数式编程:打造健壮应用

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"Learning Java Functional Programming" by Richard M. Reese 本书主要探讨了在Java 8及更高版本中引入的函数式编程概念和技术,旨在帮助习惯于使用命令式和面向对象编程风格的开发者理解并应用函数式编程。随着Java 8的发布,函数式编程的特性如Lambda表达式和流API等,为Java开发带来了新的可能性,使得编写更健壮、可维护的应用程序成为可能。 首先,书中介绍了函数式编程的核心理念,包括无副作用、纯函数和高阶函数等概念。无副作用意味着函数的输出只依赖于其输入,不改变外部状态,这有助于创建可预测和易于测试的代码。纯函数没有副作用,每次给定相同的输入,总是返回相同的结果。高阶函数可以接受其他函数作为参数或返回一个函数,这是函数式编程中实现代码复用和抽象的重要方式。 接着,书中深入讨论了Lambda表达式,这是Java 8中最重要的新特性之一。Lambda允许以简洁的语法定义匿名函数,使得代码更紧凑,同时也支持函数式接口的使用。此外,作者还通过对比传统的匿名内部类,展示了Lambda表达式的简洁性和易读性。 流API(Stream API)是Java 8中另一个重要的函数式编程工具,它提供了一种处理数据集合的新方法。通过使用流,开发者可以对数据执行各种操作,如过滤、映射、聚合等,而无需显式迭代。流API支持并行处理,能够充分利用多核处理器的优势,提高代码的执行效率。 书中还涵盖了函数式编程的一些高级主题,如函数组合、函数式数据结构(如不可变集合)以及函数式设计模式。函数组合允许将多个小函数组合成一个大函数,保持代码的模块化。不可变数据结构在修改时总是创建新的副本,而不是改变原有数据,这在多线程环境中特别有用,因为它消除了数据竞争的问题。 为了帮助读者更好地理解和掌握这些概念,书中提供了大量实例和练习,对比了传统命令式和面向对象的解决方案与函数式编程的实现。这种方式使开发者能够直观地看到两种编程范式的差异,并了解如何在实际项目中应用函数式编程。 最后,书中提到了函数式编程对软件工程的影响,包括更好的可测试性、更少的副作用和更强的错误预防能力。通过学习和实践函数式编程,开发者能够提升代码质量和开发效率,适应现代软件开发的需求。 "Learning Java Functional Programming"是一本面向Java开发者,特别是对函数式编程不熟悉的读者的优秀教程,它提供了丰富的示例和指导,帮助读者掌握Java 8及以后版本中的函数式编程技术,以构建更加健壮和可维护的Java应用程序。
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Explore functional programming and discover new ways of thinking about code. You know you need to master functional programming, but learning one functional language is only the start. In this book, through articles drawn from PragPub magazine and articles written specifically for this book, you'll explore functional thinking and functional style and idioms across languages. Led by expert guides, you'll discover the distinct strengths and approaches of Clojure, Elixir, Haskell, Scala, and Swift and learn which best suits your needs. Contributing authors: Rich Hickey, Stuart Halloway, Aaron Bedra, Michael Bevilacqua-Linn, Venkat Subramaniam, Paul Callaghan, Jose Valim, Dave Thomas, Natasha Murashev, Tony Hillerson, Josh Chisholm, and Bruce Tate. Functional programming is on the rise because it lets you write simpler, cleaner code, and its emphasis on immutability makes it ideal for maximizing the benefits of multiple cores and distributed solutions. So far nobody's invented the perfect functional language - each has its unique strengths. In Functional Programming: A PragPub Anthology, you'll investigate the philosophies, tools, and idioms of five different functional programming languages. See how Swift, the development language for iOS, encourages you to build highly scalable apps using functional techniques like map and reduce. Discover how Scala allows you to transition gently but deeply into functional programming without losing the benefits of the JVM, while with Lisp-based Clojure, you can plunge fully into the functional style. Learn about advanced functional concepts in Haskell, a pure functional language making powerful use of the type system with type inference and type classes. And see how functional programming is becoming more elegant and friendly with Elixir, a new functional language built on the powerful Erlang base.The industry has been embracing functional programming more and more, driven by the need for concurrency and parallelism. This collection of articles will lead you to mastering the functional approach to problem solving. So put on your explorer's hat and prepare to be surprised. The goal of exploration is always discovery. What You Need: Familiarity with one or more programming languages.