Julia

Julia was designed for high-performance numerical and scientific computing without sacrificing ease of use. It combines C's speed with friendly syntax, JIT compilation and native parallelism. It's gaining ground in research, quantitative finance and machine learning.

• Creado por Bezanson, Karpinski, Shah, Edelman
• Año 2012
• Paradigma: Multi-paradigm · JIT compiled
• Extensiones: .jl

Para qué se usa

• Scientific computing
• Machine learning
• Quantitative finance

A favor

• Very fast (JIT)
• Simple syntax
• Great for math

En contra

• Young ecosystem
• Slow initial startup
• Small community

Ecosistema

• Pkg
• Flux.jl
• DataFrames
• Plots
• Pluto
• DifferentialEquations

Ejemplo

println("¡Hola, mundo!")