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Julia has foreign function interfaces for c, fortran, c++, python, r, java, mathematica, matlab, and many other languages 几乎所有用户都应该下载并使用最新的 Julia 稳定版本。 我们非常重视与旧版 Julia 版本的兼容性,因此旧代码应该能够继续在最新的 Julia 稳定版本中运行。 Julia can also be embedded in other programs through its embedding api.

Julia 是一个面向科学计算的高性能动态高级程序设计语言。 Julia 最初是为了满足高性能数值分析和计算科学的需要而设计的,不需要解释器,速度快。 Julia 于 2012 年首次发行,支持各种平台:macOS、Windows、Linux、FreeBSD、Android。 除了本手册以外,官方网站还提供了一个有用的 学习资源列表 来帮助新用户学习 Julia。 您可以切换到帮助模式,将 REPL 当作一种学习资源。 Julia 提供了 异步 I/O 、 元编程 、 调试 、 日志记录 、 性能分析 、 包管理器 等等。 人们可以用 Julia 构建整个 应用程序和微服务。

Julia设计的独特之处包括, 参数多态 的类型系统,完全 动态语言 中的类型,以及它 多分派 的核心 编程范型。 它允许 并发 、 并行 和 分布式计算,并直接调用 C 和 Fortran 库而不使用 粘合代码。

The official website for the julia language Julia is a language that is fast, dynamic, easy to use, and open source Click here to learn more. Julia 编程:动手教程,以及 Julia 中的数值计算,作者为 Martín D. Maas。 关于 Julia 的入门资料,重点介绍其在科学和工程中的应用。

Julia 语言在这其中扮演了这样一个角色:它是一门灵活的动态语言,适合用于科学计算和数值计算,并且性能可与传统的静态类型语言媲美。 在 Julia 主网站的 学习 页面上可以找到经过精心挑选的有用学习资源列表,以帮助新用户入门。 您可以通过切换到帮助模式将 REPL 用作学习资源。

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