This a place to share my experience installing and using Julia programming language. And 11 min introduction to its development context: Solving the Two Language Problem | ODSC East 2016 | Stefan Karpinski.
Official website: http://julialang.org/
github website: https://github.com/JuliaLang/julia
My interest on Julia increased after watching the begging of this talk Introduction to Julia - Part 1 | SciPy 2014 | David Sanders.
I started using the Julia from my Ubuntu 14.04, that is the version 0.3. Unfortunately, this version do not supports the IJulia, to I needed to move to v0.4.
I started using the generic complied binaries from the website (v0.4.5). However, when I applied the fractals example from Sanders that took 0.25 seg to run in his machine, on mine took 145.5 seg! Then, I decided to build it on my own...
When you want source code, you go directly to the git, right? That was what I did, but I forgot of something very important: if you just clone the main branch, you probably will grab the under-development one.
So, I compiled the v0.5, and it worked nicely. The fractals example ran in the expect time. However, because I think it is a dev version, there were a lot do deprecated and warning messages, which I'm not expecting to see. Because of this, I decided to build the last stable version.
"IJulia" is based on the IPython notebook. But, for some reason, I couldn't make IJulia run in IPython 4.x (I tried at least 2 versions). With IPython 3.x, it worked well.
Now I'm compiling it to see if I can work with the IPython 4.x and if I get less warning messages... The whole compiling process takes about 1 hour.
Download: http://julialang.org/downloads/ > Source > GitHub
make # After finish, update 'x' below by your compiled version cp -R julia-x/* ~/.local/
After compiling:
julia> Pkg.add("PyPlot")
julia> Pkg.add("IJulia")
cd ~/ipynb ipython notebook
Success!!