Julia


Topic | v1 | created by jjones |
Description

Julia is a high-level, high-performance, dynamic programming language. While it is a general-purpose language and can be used to write any application, many of its features are well suited for numerical analysis and computational science. Distinctive 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. Julia supports concurrent, (composable) parallel and distributed computing (with or without using MPI and/or the built-in corresponding to "OpenMP-style" threads), and direct calling of C and Fortran libraries without glue code. 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 (on default settings) to machine code before running it.


Relations

used by Symbolics.jl

Symbolics.jl is a fast and modern Computer Algebra System (CAS) for a fast and modern programming lan...

is Programming language

A programming language is a formal language comprising a set of instructions that produce various kin...


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Resources

treated in Data Science in Julia for Hackers

https://datasciencejuliahackers.com/

compared in From Julia to Rust

I've been more serious about learning Rust recently, after dragging on with passive learning for a wh...