with similar limited capabilities to the C language), for computers or even microcontrollers with 2 KB of RAM. the garbage collector since it's part of Julia's runtime, i.e. Small binary executables can also be made using a different package but then the Julia runtime isn't included in the executable, e.g. Julia can be compiled to binary executables using a package for it supporting all Julia features. for working with Python, R, Rust, C++, SQL and to work with or even to compile to JavaScript. Calling C has special support, and with use of extra packages, e.g. a profiler (and flame graph support available for the built-in one), debugger, and the Rebugger.jl package "supports repeated-execution debugging" and more. for Microsoft's Visual Studio Code, an extension is available providing debugging and linting support) with integrated tools, e.g. Several development tools support coding in Julia, such as integrated development environments (e.g. Many libraries are available, including some (e.g., for fast Fourier transforms) that were previously bundled with Julia and are now separate. Julia is garbage-collected, uses eager evaluation, and includes efficient libraries for floating-point calculations, linear algebra, random number generation, and regular expression matching. Julia uses a just-in-time (JIT) compiler that is referred to as "just- ahead-of-time" (JAOT) in the Julia community, as Julia compiles all code (by default) to machine code before running it.
Julia supports concurrent, (composable) parallel and distributed computing (with or without using MPI or the built-in corresponding to " OpenMP-style" threads ), and direct calling of C and Fortran libraries without glue code. ĭistinctive aspects of Julia's design include a type system with parametric polymorphism in a dynamic programming language with multiple dispatch as its core programming paradigm. Its features are well suited for numerical analysis and computational science. Julia is a high-level, general-purpose dynamic programming language. Mathematica (strictly its Wolfram Language ).
MIT (mainly for core), includes GPL v2 components by default a makefile option omits GPL libraries. For more details see "supported platforms". Tier 3: 32-bit Arm, PowerPC, AMD ( ROCm) GPUs and oneAPI/Intel's GPUs.Īlso supports Google's TPUs, and has web browser support (for JavaScript and WebAssembly), and can work in Android. Apple M1 Macs, while Julia also has tier 1 support using Rosetta ), 32-bit Windows (64-bit is tier 1) Tier 1: x86-64, IA-32 CUDA 10.1+ /Nvidia GPUs (for Linux and Windows)
1 April 2023 23 days ago ( ) and 1.9.0 and 1.8.6 being worked on and 1.10.0-DEV with daily updates ĭynamic, inferred, optional, nominative, parametric, strong
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