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Julia has foreign function interfaces for c, fortran, c++, python, r, java, mathematica, matlab, and many other languages 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 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。 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。 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。
人工智能大佬Yann LeCun 认为如果我们用Julia, 对人工智能的发展会更好。 而且2022年 ACM 图灵奖 获得者Jack Dongarra, 认为Julia比起其他的语言好太多了，应该是一个取代其他的编程范式非常好候选者。 The main homepage for julia can be found at julialang.org This is the github repository of julia source code, including instructions for compiling and installing julia, below. 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. 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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