We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Clojure: a language for problem solvers

Formal Metadata

Title
Clojure: a language for problem solvers
Alternative Title
Introduction to Clojure
Title of Series
Number of Parts
150
Author
License
CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
Clojure is a powerful dynamic language that compiles to many target environments, including the JVM, JavaScript, and the CLR. In this talk, you will learn how to think in Clojure, and why you should want to. Clojure encourages functional style with persistent data structures, a rich library of pure functions, and powerful processing support via the seq and reducer abstractions. Clojure implements a reference model for state, where references represent atomic successions of values, and change is encapsulated by value and reference constructors. This reference model is more substantive and suitable to application development than individual techniques such as Software Transactional Memory (STM) or actors. The most important single principle behind Clojure is simplicity. Clojure's abstractions are simple and orthogonal. A la carte polymorphism, careful support for names and namespaces, the reference succession model, and a wide selection of small, composable protocols make Clojure programming swift, surgical and accurate. Clojure's expressiveness does not mean that you have to compromise on power. It is an explicit design goal of Clojure to provide access to the power of the underlying platform, and for programmers never to have to "drop down" to the platform level for performance-sensitive work.