Julia编程04：Julia调用R和Python

参考使用homebrew管理linux和mac软件安装homebrew、mamba和Python

Python环境

mamba create -y -n jlpy python=3.10
mamba activate jlpy
mamba install matplotlib
which python
# /opt/homebrew/Caskroom/mambaforge/base/envs/jlpy/bin/python

R环境

在R中运行，找到R_HOME

R.home()
# /Library/Frameworks/R.framework/Resources

Build

在Julia中运行

using Pkg
Pkg.add(["PyCall","RCall"])
ENV["PYTHON"]="/opt/homebrew/Caskroom/mambaforge/base/envs/jlpy/bin/python"
Pkg.build("PyCall")

ENV["R_HOME"] = "/Library/Frameworks/R.framework/Resources"
Pkg.build("RCall")

调用R

还有许多用法，可以参考官网

using RCall
@rimport base as rbase
rbase.sum([1, 2, 3])
# RObject{IntSxp}
# [1] 6

跟在R中写代码已经没什么区别了

R"
library(ggplot2)
qplot(iris$Sepal.Length,iris$Sepal.Width,color=iris$Species)
ggsave('iris.png')
"

调用Python

还有许多用法，可以参考官网

using PyCall
math = pyimport("math")
math.sin(math.pi / 4) # returns ≈ 1/√2 = 0.70710678...

plt = pyimport("matplotlib.pyplot")
x = range(0;stop=2*pi,length=1000); y = sin.(3*x + 4*cos.(2*x));
plt.plot(x, y, color="blue", linewidth=2.0, linestyle="--")
plt.show()

Reference

https://juliainterop.github.io/RCall.jl/stable/
https://github.com/JuliaPy/PyCall.jl

Julia is a high-level, dynamic programming language. 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.

The most significant departures of Julia from typical dynamic languages are:

The core language imposes very little; Julia Base and the standard library are written in Julia itself, including primitive operations like integer arithmetic

A rich language of types for constructing and describing objects, that can also optionally be used to make type declarations

The ability to define function behavior across many combinations of argument types via multiple dispatch

Automatic generation of efficient, specialized code for different argument types

Good performance, approaching that of statically-compiled languages like C