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Julia provides asynchronous i/o, metaprogramming, debugging, logging, profiling, a package manager, and more 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. One can build entire applications and microservices in julia.
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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 provides powerful tools for deep learning (flux.jl and knet.jl), machine learning and ai 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. 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。 这是一个社区支持的计划，旨在帮助学习者更好地了解、掌握和精通 Julia 语言，并提供学习路径、资料整合、现有经验及练习。
Julia 是一种为科学计算而生的，开源、多平台、高性能的高级编程语言。 Julia 有一个基于 LLVM 低级虚拟机 (Low-Level Virtual Machine)是一个编译基础设施，用于构建中间代码 (IR)或者二进制机器码。 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.
