Utilize Julia

2 min read

Install Python, INotebook and Julia

# Install miniconda from http://conda.pydata.org/miniconda.html
# And then
conda install numpy scipy ipython jupyter matplotlib
jupyter notebook
# See https://caskroom.github.io/
brew tap caskroom/cask
brew cask install julia

Julia-Python bridge

julia> Pkg.add("PyCall")
INFO: Initializing package repository /Users/utensil/.julia/v0.4
INFO: Cloning METADATA from git://github.com/JuliaLang/METADATA.jl
# The first time takes a long time to do git clone......
julia> using PyCall
INFO: Precompiling module PyCall...
 
julia> @pyimport numpy.random as nr
 
julia> nr.rand(3,4)
3x4 Array{Float64,2}:
 0.104454  0.847609  0.810417  0.939161
 0.266673  0.186059  0.651118  0.861648
 0.720235  0.164573  0.448754  0.183331
 
Pkg.add("IJulia")
using IJulia
notebook()

utensil commented at 2016-04-24 13:16:

More Packages

# Math
for pkg in ["Mocha", "Distributions", "DataFrames", "JuMP", "Graphs", "GLM", "GeneticAlgorithms", "ControlSystems", "DiscriminantAnalysis", "HTSLIB"]
    Pkg.add(pkg)
end
 
# Faster
for pkg in ["ParallelAccelerator","NLopt", "Optim"]
    Pkg.add(pkg)
end
 
# Vis
for pkg in ["Escher", "Plots", "Gadfly", "PyPlot", "GR", "Immerse", "UnicodePlots", "Qwt", "PlotlyJS", "Interact", "Mux", "GLVisualize", "Blink"]
    Pkg.add(pkg)
end
 
# Utility
# brew install llvm
for pkg in ["Reactive", "Maker", "FactCheck", "BuildExecutable", "Clang"]
    Pkg.add(pkg)
end

utensil commented at 2016-04-24 13:16:

Learn

Community

Misc

utensil commented at 2016-04-27 09:26:

See https://gist.github.com/mlhales/5785725

Pkg.add("CUDArt")
using CUDArt
Pkg.test("CUDArt")

utensil commented at 2016-04-28 17:21:

For atom:

apm install uber-juno

In Julia:

Pkg.add("Atom")

utensil commented at 2016-04-29 14:18:

For JuMP:

for pkg in ["GLPKMathProgInterface", "Cbc", "Clp"]
    Pkg.add(pkg)
end

utensil commented at 2016-04-30 15:44:

Work continues at https://github.com/utensil/julia-playground/

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