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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。
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.
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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