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The Julia Language

Julia is a high-level, high-performance dynamic language for technical computing. 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.

Resources

New developers may find the notes in CONTRIBUTING helpful to start contributing to the Julia codebase.

External Resources

Binary Installation

If you would rather not compile the latest Julia from source, platform-specific tarballs with pre-compiled binaries are also available for download. The downloads page also provides details on the different tiers of support for OS and platform combinations.

If everything works correctly, you will see a Julia banner and an interactive prompt into which you can enter expressions for evaluation. You can read about getting started in the manual.

Note: Although some OS package managers provide Julia, such installations are neither maintained nor endorsed by the Julia project. They may be outdated, broken and/or unmaintained. We recommend you use the official Julia binaries instead.

Building Julia

First, make sure you have all the required dependencies installed. Then, acquire the source code by cloning the git repository:

git clone https://github.com/JuliaLang/julia.git

and then use the command prompt to change into the resulting julia directory. By default, you will be building the latest unstable version of Julia. However, most users should use the most recent stable version of Julia. You can get this version by running:

git checkout v1.10.3

To build the julia executable, run make from within the julia directory.

Building Julia requires 2GiB of disk space and approximately 4GiB of virtual memory.

Note: The build process will fail badly if any of the build directory's parent directories have spaces or other shell meta-characters such as $ or : in their names (this is due to a limitation in GNU make).

Once it is built, you can run the julia executable. From within the julia directory, run

./julia

Your first test of Julia determines whether your build is working properly. From the julia directory, type make testall. You should see output that lists a series of running tests; if they complete without error, you should be in good shape to start using Julia.

You can read about getting started in the manual.

Detailed build instructions, should they be necessary, are included in the build documentation.

Uninstalling Julia

By default, Julia does not install anything outside the directory it was cloned into and ~/.julia. Julia and the vast majority of Julia packages can be completely uninstalled by deleting these two directories.

Source Code Organization

The Julia source code is organized as follows:

Directory Contents
base/ source code for the Base module (part of Julia's standard library)
cli/ source for the command line interface/REPL
contrib/ miscellaneous scripts
deps/ external dependencies
doc/src/ source for the user manual
etc/ contains startup.jl
src/ source for Julia language core
stdlib/ source code for other standard library packages
test/ test suites

Terminal, Editors and IDEs

The Julia REPL is quite powerful. See the section in the manual on the Julia REPL for more details.

On Windows, we highly recommend running Julia in a modern terminal, such as Windows Terminal from the Microsoft Store.

Support for editing Julia is available for many widely used editors: Emacs, Vim, Sublime Text, and many others.

For users who prefer IDEs, we recommend using VS Code with the julia-vscode plugin.
For notebook users, Jupyter notebook support is available through the IJulia package, and the Pluto.jl package provides Pluto notebooks.

MIT License Copyright (c) 2009-2024: Jeff Bezanson, Stefan Karpinski, Viral B. Shah, and other contributors: https://github.com/JuliaLang/julia/contributors Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. end of terms and conditions Please see [THIRDPARTY.md](./THIRDPARTY.md) for license information for other software used in this project.

简介

Julia是一个新的高性能动态高级编程语言。语法和其他编程语言类似,易于其他语言用户学习。Julia拥有丰富的函数库,提供了数字精度、精致的增幅器(sophisticated amplifier)和分布式并行运行方式。核心函数库等大多数库是由Julia编写,但也用成熟的C和FORTRAN库来处理线性代数、随机数产生和字符串处理等问题。Julia语言可定义函数并且根据用户自定义的参数类型组合再进行重载。 展开 收起
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