Topic | v1 | created by jjones |

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.


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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cons given in What's bad about Julia?

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This post is about all the major disadvantages of Julia. Some of it will just be rants about things I...

treated in Data Science in Julia for Hackers


compared in From Julia to Rust

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