[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-758":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":34,"readmeContent":35,"aiSummary":36,"trendingCount":16,"starSnapshotCount":16,"syncStatus":37,"lastSyncTime":38,"discoverSource":39},758,"julia","JuliaLang\u002Fjulia","JuliaLang","The Julia Programming Language","https:\u002F\u002Fjulialang.org\u002F",null,"Julia",48813,5790,927,3775,0,70,155,13,45,"MIT License",false,"master",[25,26,5,27,28,29,30,31,32,33],"hacktoberfest","hpc","julia-language","julialang","machine-learning","numerical","programming-language","science","scientific","2026-06-12 02:00:18","\u003Ca name=\"logo\"\u002F>\n\u003Cdiv align=\"center\">\n\u003Ca href=\"https:\u002F\u002Fjulialang.org\u002F\" target=\"_blank\">\n\u003Cimg src=\"doc\u002Fsrc\u002Fassets\u002Flogo.svg\" alt=\"Julia Logo\" width=\"210\" height=\"142\">\u003C\u002Fimg>\n\u003C\u002Fa>\n\u003C\u002Fdiv>\n\n\u003Ctable>\n    \u003C!-- Docs -->\n    \u003Ctr>\n        \u003Ctd>Documentation\u003C\u002Ftd>\n        \u003Ctd>\n            \u003Ca href=\"https:\u002F\u002Fdocs.julialang.org\">\u003Cimg src='https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fdocs-v1-blue.svg'\u002F>\u003C\u002Fa>\n        \u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003C!-- Continuous integration\n    To change the badge to point to a different pipeline, it is not sufficient to simply change the `?branch=` part.\n    You need to go to the Buildkite website and get the SVG URL for the correct pipeline. -->\n    \u003Ctr>\n        \u003Ctd>Continuous integration\u003C\u002Ftd>\n        \u003Ctd>\n            \u003Ca href=\"https:\u002F\u002Fbuildkite.com\u002Fjulialang\u002Fjulia-master\">\u003Cimg src='https:\u002F\u002Fbadge.buildkite.com\u002Ff28e0d28b345f9fad5856ce6a8d64fffc7c70df8f4f2685cd8.svg?branch=master'\u002F>\u003C\u002Fa>\n            \u003Ca href=\"https:\u002F\u002Fperf.julialang.org\u002F\">\u003Cimg src='https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Ftracking-performance-blue'\u002F>\u003C\u002Fa>\n        \u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003C!-- Coverage -->\n    \u003Ctr>\n        \u003Ctd>Code coverage\u003C\u002Ftd>\n        \u003Ctd>\n            \u003Ca href='https:\u002F\u002Fcoveralls.io\u002Fgithub\u002FJuliaLang\u002Fjulia?branch=master'>\u003Cimg src='https:\u002F\u002Fcoveralls.io\u002Frepos\u002Fgithub\u002FJuliaLang\u002Fjulia\u002Fbadge.svg?branch=master' alt='Coverage Status'\u002F>\u003C\u002Fa>\n            \u003Ca href=\"https:\u002F\u002Fcodecov.io\u002Fgh\u002FJuliaLang\u002Fjulia\">\u003Cimg src=\"https:\u002F\u002Fcodecov.io\u002Fgh\u002FJuliaLang\u002Fjulia\u002Fbranch\u002Fmaster\u002Fgraph\u002Fbadge.svg?token=TckCRxc7HS\"\u002F>\u003C\u002Fa>\n        \u003C\u002Ftd>\n    \u003C\u002Ftr>\n\u003C\u002Ftable>\n\n## The Julia Language\n\nJulia is a high-level, high-performance dynamic language for technical\ncomputing. The main homepage for Julia can be found at\n[julialang.org](https:\u002F\u002Fjulialang.org\u002F). This is the GitHub\nrepository of Julia source code, including instructions for compiling\nand installing Julia, below.\n\n## Resources\n\n- **Homepage:** \u003Chttps:\u002F\u002Fjulialang.org>\n- **Install:** \u003Chttps:\u002F\u002Fjulialang.org\u002Fdownloads\u002F>\n- **Source code:** \u003Chttps:\u002F\u002Fgithub.com\u002FJuliaLang\u002Fjulia>\n- **Documentation:** \u003Chttps:\u002F\u002Fdocs.julialang.org>\n- **Packages:** \u003Chttps:\u002F\u002Fjulialang.org\u002Fpackages\u002F>\n- **Discussion forum:** \u003Chttps:\u002F\u002Fdiscourse.julialang.org>\n- **Zulip:** \u003Chttps:\u002F\u002Fjulialang.zulipchat.com\u002F>\n- **Slack:** \u003Chttps:\u002F\u002Fjulialang.slack.com> (get an invite from \u003Chttps:\u002F\u002Fjulialang.org\u002Fslack\u002F>)\n- **YouTube:** \u003Chttps:\u002F\u002Fwww.youtube.com\u002Fuser\u002FJuliaLanguage>\n- **Code coverage:** \u003Chttps:\u002F\u002Fcoveralls.io\u002Fr\u002FJuliaLang\u002Fjulia>\n\n\n## Contributing to Julia\n\nWe welcome contributions from developers of all experience levels, including bug fixes,\ndocumentation improvements, tests, and performance enhancements.\n\nNew contributors are encouraged to start by reading [CONTRIBUTING.md](https:\u002F\u002Fgithub.com\u002FJuliaLang\u002Fjulia\u002Fblob\u002Fmaster\u002FCONTRIBUTING.md).\n\n> [!IMPORTANT]\n> If your pull request contains substantial contributions from a generative AI tool, please disclose so with details, and review all changes before opening. This also applies to other content, such as issues, discussions, and comments.\n\n### Learning Julia\n\n- [**Learning resources**](https:\u002F\u002Fjulialang.org\u002Flearning\u002F)\n\n## Binary Installation\n\nThe recommended way of installing Julia is to use `juliaup` which will install\nthe latest stable `julia` for you and help keep it up to date. It can also let\nyou install and run different Julia versions simultaneously. Instructions for\nthis can be found [here](https:\u002F\u002Fjulialang.org\u002Fdownloads\u002F). If you want to manually\ndownload specific Julia binaries, you can find those on the [Manual Downloads\npage](https:\u002F\u002Fjulialang.org\u002Fdownloads\u002Fmanual-downloads\u002F). The downloads page also provides\ndetails on the [different tiers of\nsupport](https:\u002F\u002Fjulialang.org\u002Fdownloads\u002Fsupport) for OS and\nplatform combinations.\n\nIf everything works correctly, you will get a `julia` program and when you run\nit in a terminal or command prompt, you will see a Julia banner and an\ninteractive prompt into which you can enter expressions for evaluation. You can\nread about [getting\nstarted](https:\u002F\u002Fdocs.julialang.org\u002Fen\u002Fv1\u002Fmanual\u002Fgetting-started\u002F) in the\nmanual.\n\n**Note**: Although some OS package managers provide Julia, such\ninstallations are neither maintained nor endorsed by the Julia\nproject. They may be outdated, broken and\u002For unmaintained. We\nrecommend you use the official Julia binaries instead.\n\n## Building Julia\n\nFirst, make sure you have all the [required\ndependencies](https:\u002F\u002Fgithub.com\u002FJuliaLang\u002Fjulia\u002Fblob\u002Fmaster\u002Fdoc\u002Fsrc\u002Fdevdocs\u002Fbuild\u002Fbuild.md#required-build-tools-and-external-libraries) installed.\nThen, acquire the source code by cloning the git repository:\n\n    git clone https:\u002F\u002Fgithub.com\u002FJuliaLang\u002Fjulia.git\n\nand then use the command prompt to change into the resulting julia directory. By default, you will be building the latest unstable version of\nJulia. However, most users should use the [most recent stable version](https:\u002F\u002Fgithub.com\u002FJuliaLang\u002Fjulia\u002Freleases)\nof Julia. You can get this version by running: (replace `[tag]` with the desired tag)\n\n    git checkout [tag]\n\nTo build the `julia` executable, run `make` from within the julia directory.\n\nBuilding Julia requires 2GiB of disk space and approximately 4GiB of virtual memory.\n\n**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).\n\nOnce it is built, you can run the `julia` executable. From within the julia directory, run\n\n    .\u002Fjulia\n\nYour first test of Julia determines whether your build is working\nproperly. From the julia\ndirectory, type `make testall`. You should see output that\nlists a series of running tests; if they complete without error, you\nshould be in good shape to start using Julia.\n\nYou can read about [getting\nstarted](https:\u002F\u002Fdocs.julialang.org\u002Fen\u002Fv1\u002Fmanual\u002Fgetting-started\u002F)\nin the manual.\n\nDetailed build instructions, should they be necessary,\nare included in the [build documentation](https:\u002F\u002Fgithub.com\u002FJuliaLang\u002Fjulia\u002Fblob\u002Fmaster\u002Fdoc\u002Fsrc\u002Fdevdocs\u002Fbuild\u002Fbuild.md).\n\n### Uninstalling Julia\n\nBy default, Julia does not install anything outside the directory it was cloned\ninto and `~\u002F.julia`. Julia and the vast majority of Julia packages can be\ncompletely uninstalled by deleting these two directories.\n\n## Source Code Organization\n\nThe Julia source code is organized as follows:\n\n| Directory         | Contents                                                           |\n| -                 | -                                                                  |\n| `base\u002F`           | source code for the Base module (part of Julia's standard library) |\n| `cli\u002F`            | source for the command line interface\u002FREPL                         |\n| `contrib\u002F`        | miscellaneous scripts                                              |\n| `deps\u002F`           | external dependencies                                              |\n| `doc\u002Fsrc\u002F`        | source for the user manual                                         |\n| `etc\u002F`            | contains `startup.jl`                                              |\n| `src\u002F`            | source for Julia language core                                     |\n| `stdlib\u002F`         | source code for other standard library packages                    |\n| `test\u002F`           | test suites                                                        |\n\n## Terminal, Editors and IDEs\n\nThe Julia REPL is quite powerful. See the section in the manual on\n[the Julia REPL](https:\u002F\u002Fdocs.julialang.org\u002Fen\u002Fv1\u002Fstdlib\u002FREPL\u002F)\nfor more details.\n\nOn Windows, we highly recommend running Julia in a modern terminal,\nsuch as [Windows Terminal from the Microsoft Store](https:\u002F\u002Faka.ms\u002Fterminal).\n\nSupport for editing Julia is available for many\n[widely used editors](https:\u002F\u002Fgithub.com\u002FJuliaEditorSupport):\n[Emacs](https:\u002F\u002Fgithub.com\u002FJuliaEditorSupport\u002Fjulia-emacs),\n[Vim](https:\u002F\u002Fgithub.com\u002FJuliaEditorSupport\u002Fjulia-vim),\n[Sublime Text](https:\u002F\u002Fgithub.com\u002FJuliaEditorSupport\u002FJulia-sublime), and many\nothers.\n\nFor users who prefer IDEs, we recommend using VS Code with the\n[julia-vscode](https:\u002F\u002Fwww.julia-vscode.org\u002F) plugin.\\\nFor notebook users, [Jupyter](https:\u002F\u002Fjupyter.org\u002F) notebook support is available through the\n[IJulia](https:\u002F\u002Fgithub.com\u002FJuliaLang\u002FIJulia.jl) package, and\nthe [Pluto.jl](https:\u002F\u002Fgithub.com\u002Ffonsp\u002FPluto.jl) package provides Pluto notebooks.\n","Julia 是一种专为技术计算设计的高级高性能动态编程语言。其核心功能包括快速数值计算、易于使用的语法以及与 Python 和 R 等语言的无缝集成能力。Julia 采用了 JIT（Just-In-Time）编译技术，使得它在执行速度上接近 C 语言的同时保持了脚本语言的灵活性。此外，Julia 拥有强大的并行计算支持，适用于大规模数据处理和科学模拟等场景。无论是进行科学研究、工程计算还是开发机器学习模型，Julia 都能提供一个高效且易用的开发环境。",2,"2026-06-11 02:39:08","top_all"]