clojure

We use Clojure for the data processing and machine learning research .

我们使用Clojure来进行数据处理和机器学习研究。

Two main parts of the system are written in Clojure .

该系统里有两个主要部分是用Clojure编写的。

There are two common ways to develop and run Clojure programs .

开发和运行Clojure程序有两种常用方式。

Clojure has an amazing core set of data structures .

Clojure拥有一套神奇的数据结构。

According to David a Clojure based view server is in development by some other party .

据David所说其他团体正在开发一个基于Clojure的视图服务器。

Another option is to use Clojure for performance bottlenecks .

还有一个选择是用Clojure来解决性能瓶颈。

As you might guess , Clojure is a functional programming language .

您可能已经发现，Clojure是一种函数式编程语言。

Now you have solved several problems while learning how to use Clojure at the same time .

现在，您已经解决了几个问题，并同时掌握了该如何使用Clojure。

One other important aspect of Clojure is its tight integration with the Java language .

Clojure的另一个重要的方面是其与Java语言的紧密集成。

Clojure is a LISP and comes with a powerful macro system .

Clojure是一种LISP语言，并且具有强大的宏系统。

Clojure libraries inspired by Ruby libraries are one way the two languages interact .

Clojure库受Ruby库的启发，是这两种语言的相互影响的一种途径。

In fact , every Clojure protocol is also a Java interface with the same name and methods .

实际上，每一个Clojure协议还是一个具有相同名称和方法的Java接口。

Clojure protocols and datatypes provide a simple , elegant solution .

Clojure协议和数据类型提供了一种简单、优秀的解决方案。

Second , you 're confined to running the query only via your Clojure code .

其次，您被限制为只能通过您的Clojure代码运行查询。

We use Clojure data structure literals as both intermediate representation for communication , and for storage .

我们将Clojure数据结构用作通信和存储的中间表示。

Clojure is built around these ideas .

Clojure正是围绕这些理念构建的。

The other part that is built in Clojure is all the statistical inference and machine learning code .

二是所有的统计推断和机器学习代码。

Clojure uses very high performance persistent data structures to make this kind of transactions / rollbacks efficient .

Clojure采用性能非常高的永久数据结构，来确保此类事务/回滚的效率。

One of Clojure 's core features is its generic data-manipulation API .

Clojure的核心功能之一是其一般数据操作API。

Here , we take advantage of Clojure 's support for multi-line strings .

这里，我们利用了Clojure对多行字符串的支持。

InfoQ : Could you give a short overview of how your Clojure code is structured ?

InfoQ：你能简要介绍一下你们的Clojure代码是如何组织的吗？

We also need a zipper implementation that can deal with the standard Clojure data structures during traversal .

我们还需要一种zippers实现，它应能够在遍历过程中处理标准Clojure数据结构。

Clojure 's datatypes are split into two distinct roles .

Clojure的数据类型被划分为两种不同的角色。

Clojure 's refs provide its most powerful flavor of concurrency .

Clojure的refs提供了其最强大的并发特色。

First we use the str function from Clojure to convert the char to a string .

首先，我们使用Clojure的str函数来将这个char转变为字符串。

Clojure is a possible solution for this problem : the language has various levels of flexbility .

要解决这个问题，Clojure是一个可能的方案：这种语言具有多种级别的灵活性。

For instance , normal Clojure functions have low call overhead as they 're mostly reduced to static method calls .

例如，普通的Clojure函数都有较低的调用开销，因为它们都尽量降为静态函数调用。

The simplest type of Clojure concurrency model is vars .

最简单的Clojure并发模型是vars。

Clojure is fundamentally different in all respects .

Clojure在各个方面都有根本的不同。

Clojure 's persistent data structures

Clojure的持久数据结构