DataGotham.jl

IJulia Notebook with material for DataGotham tutorial on using Julia for data analysis
Popularity
3 Stars
Updated Last
5 Years Ago
Started In
September 2013

DataGotham.jl

These IJulia notebooks provide the material used for the Julia tutorial at DataGotham 2013. To follow along, you'll need to install all of the software we use along the way:

Step 1: Grab a binary of the latest Julia from http://julialang.org/downloads/#beta. If the binaries do not work, please install from source. The initial source installation takes a long time because of the dependencies that have to be installed, but subsequent builds takes less than a minute on average.

Step 2: For convenience, you can set up an alias to the newly installed Julia binary that you can use to invoke Julia from your normal shell prompt. On OS X, I use the following:

alias julia="/Applications/Julia-*.app/Contents/Resources/julia/bin/julia"

I also setup an alias for IJulia to make it easier to launch:

alias ijulia="ipython notebook --profile=julia"

Step 3: To get all the packages we'll use, start a Julia REPL and then run the following commands in the Julia REPL:

Pkg.add("Homebrew")
Pkg.add("IJulia")
Pkg.add("Gadfly")
Pkg.add("RDatasets")
Pkg.add("GLM")
Pkg.add("Optim")