Julia 0.5.2 和 0.6.0-rc1 发布了，本次更新包括了很多新的语言特性。
Julia是一个新的高性能动态高级编程语言。语法和其他编程语言类似，易于其他语言用户学习。Julia拥有丰富的函数库，提供了数字精度、精致的增幅 器（sophisticated amplifier）和分布式并行运行方式。核心函数库等大多数库是由Julia编写，但也用成熟的C和FORTRAN库来处理线性代数、随机数产生和字 符串处理等问题。Julia语言可定义函数并且根据用户自定义的参数类型组合再进行重载。
部分新的语言特性如下：
New type system capabilities
Type parameter constraints can refer to previous parameters, e.g. type Foo{R<:Real, A<:AbstractArray{R}}. Can also be used in method definitions.
New syntax Array{T} where T<:Integer, indicating a union of types over all specified values of T (represented by a UnionAll type). This provides behavior similar to parametric methods or typealias, but can be used anywhere a type is accepted. This syntax can also be used in method definitions, e.g. function inv(M::Matrix{T}) where T<:AbstractFloat. Anonymous functions can have type parameters via the syntax ((x::Array{T}) where T<:Real) -> 2x.
Implicit type parameters, e.g. Vector{<:Real} is equivalent to Vector{T} where T<:Real, and similarly for Vector{>:Int}
Much more accurate subtype and type intersection algorithms. Method sorting and identification of equivalent and ambiguous methods are improved as a result.
软件详情：https://github.com/JuliaLang/julia/blob/v0.6.0-rc1/NEWS.md
下载地址：https://github.com/JuliaLang/julia/
来自:开源中国社区
