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Galfimbul
The Joy of Clojure
Год: 2011 Автор: Michael Fogus and Chris Houser Издательство: Manning ISBN: 9781935182641 Язык: Английский Формат: PDF Качество: Изначально компьютерное (eBook) Интерактивное оглавление: Да Количество страниц: 360 Описание: If you've seen how dozens of lines of Java or Ruby can dissolve into just a few lines of Clojure, you'll know why the authors of this book call it a "joyful language." Clojure is a dialect of Lisp that runs on the JVM. It combines the nice features of a scripting language with the powerful features of a production environment—features like persistent data structures and clean multithreading that you'll need for industrial-strength application development.
The Joy of Clojure goes beyond just syntax to show you how to write fluent and idiomatic Clojure code. You'll learn a functional approach to programming and will master Lisp techniques that make Clojure so elegant and efficient. The book gives you easy access to hard soft ware areas like concurrency, interoperability, and performance. And it shows you how great it can be to think about problems the Clojure way.
foreword preface acknowledgments about this book Part 1 Foundations
Chapter 1 Clojure philosophy The Clojure way Why a(nother) Lisp? Functional programming Why Clojure isn’t especially object-oriented Summary Chapter 2 Drinking from the Clojure firehose Scalars Putting things together: collections Making things happen: functions Vars Locals, loops, and blocks Preventing things from happening: quoting Leveraging Java via interop Exceptional circumstances Namespaces Summary Chapter 3 Dipping our toes in the pool Truthiness Nil pun with care Destructuring Using the REPL to experiment Summary Part 2 Data types
Chapter 4 On scalars Understanding precision Trying to be rational When to use keywords Symbolic resolution Regular expressions—the second problem Summary Chapter 5 Composite data types Persistence, sequences, and complexity Vectors: creating and using them in all their varieties Lists: Clojure’s code form data structure How to use persistent queues Persistent sets Thinking in maps Putting it all together: finding the position of items in a sequence Summary Part 3 Functional programming
Chapter 6 Being lazy and set in your ways On immutability Designing a persistent toy Laziness Putting it all together: a lazy quicksort Summary Chapter 7 Functional programming Functions in all their forms Closures Thinking recursively Putting it all together: A* pathfinding Summary Part 4 Large-scale design
Chapter 8 Macros Data is code is data Defining control structures Macros combining forms Using macros to change forms Using macros to control symbolic resolution time Using macros to manage resources Putting it all together: macros returning functions Summary Chapter 9 Combining data and code Namespaces Exploring Clojure multimethods with the Universal Design Pattern Types, protocols, and records Putting it all together: a fluent builder for chess moves Summary Chapter 10 Java.next Generating objects on the fly with proxy Clojure gen-class and GUI programming Clojure’s relationship to Java arrays All Clojure functions implement... Using Clojure data structures in Java APIs definterface Be wary of exceptions Summary Chapter 11 Mutation Software transactional memory with multiversion concurrency control and snapshot isolation When to use Refs When to use Agents When to use Atoms When to use locks When to use futures When to use promises Parallelism Vars and dynamic binding Summary Part 5 Tangential considerations
Chapter 12 Performance Type hints Transients Chunked sequences Memoization Understanding coercion Summary Chapter 13 Clojure changes the way you think DSLs Testing A lack of design patterns Error handling and debugging Fare thee well
