A series of experiments with Julia, to familiarize with Julia and look for potential applications.
Install MiniConda and then:
conda install numpy scipy sympy ipython jupyter matplotlib
jupyter notebook# On Mac:
# See https://caskroom.github.io/
brew tap caskroom/cask
brew cask install julia
# On Ubuntu:
sudo add-apt-repository ppa:staticfloat/juliareleases
sudo add-apt-repository ppa:staticfloat/julia-deps
sudo apt-get update
sudo apt-get install julia
# On Windows:
# Just install from http://julialang.org/downloads/using Pkg
Pkg.add("IJulia")
using IJulia
notebook(dir=pwd())A more interesting way:
# Start Julia REPL
$ julia
julia>
# Enter Pkg REPL-mode
# Hit ]
pkg> add IJulia
# Back to Julia REPL
# Hit Backspace
julia>
# Enter Shell mode or exit to shell
# Hit ;
shell> julia -e "using IJulia;notebook(dir=pwd())"
# or Enter exit()
$ julia -e "using IJulia;notebook(dir=pwd())"pkg> add PyCall
Updating registry at `~/.julia/registries/General`
Updating git-repo `https://github.com/JuliaRegistries/General.git`
Resolving package versions...
Installed MacroTools ─ v0.4.5
Installed PyCall ───── v1.90.0
Updating `~/.julia/environments/v1.1/Project.toml`
[438e738f] + PyCall v1.90.0
Updating `~/.julia/environments/v1.1/Manifest.toml`
[1914dd2f] + MacroTools v0.4.5
[438e738f] + PyCall v1.90.0
Building PyCall → `~/.julia/packages/PyCall/RQjD7/deps/build.log`
julia> using PyCall
[ Info: Precompiling PyCall [438e738f-606a-5dbb-bf0a-cddfbfd45ab0]
julia> nr = pyimport("numpy.random")
PyObject <module 'numpy.random' from '~/.julia/conda/3/lib/python3.7/site-packages/numpy/random/__init__.py'>
julia> nr.rand(3,4)
3×4 Array{Float64,2}:
0.729467 0.404296 0.62498 0.239982
0.229927 0.291334 0.793212 0.655154
0.212725 0.715652 0.600691 0.985202The following are some of the most installed packages from Julia Package Pulse.
# 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)
endNote:
Clang.jlis not working yet, it's looking for a missingllvm-config.
See this gitst for CUDA installation instructions.
Pkg.add("CUDArt")
using CUDArt
Pkg.test("CUDArt")Note: Some MacBook Pro are using Intel Iris graphic card, which doesn't support CUDA, try them somewhere else, with a Nvidia graphic card.