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Julia provides asynchronous i/o, metaprogramming, debugging, logging, profiling, a package manager, and more 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。 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。 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。 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。
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。
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’s mathematical syntax makes it an ideal way to express algorithms just as they are written in papers, build trainable models with automatic differentiation, gpu acceleration and support for terabytes of data with juliadb. 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。
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