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Julia provides asynchronous i/o, metaprogramming, debugging, logging, profiling, a package manager, and 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。 One can build entire applications and microservices in julia.
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. Pluto.jl 是专为 学习和教学 而设计的 Julia 编程环境，它是开始使用 Julia 编程、包和可视化的绝佳方式。 Pluto.jl 易于安装，您可以编写交互式文档，无需任何先验经验。
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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