Julia overview

Julia is a high-level, dynamically-typed language with a JIT compiler (based on LLVM) designed specifically for high-performance numerical and scientific computing. It aims to solve the "two-language problem" — letting researchers prototype in an expressive language without rewriting hot paths in C/Fortran. Julia's multiple dispatch system is central to its design and enables highly generic, composable libraries. Key packages include Flux.jl (machine learning), DifferentialEquations.jl, Plots.jl, and DataFrames.jl. Julia supports distributed and parallel computing via Distributed.jl and CUDA.jl for GPU kernels. Its type inference and specialization produce code competitive with compiled languages for numerical workloads.