The Julia community has begun to group packages and developers together where there is some significant common functionality. One of the most prolific is the JuliaStats group that, as the name suggests, is concerned with statistical matters.
Although Julia was initially conceived as a replacement for slow scientific languages such as MATLAB and its clones, the success of the language in a wide variety of disciplines, including statistics, makes it attractive for a much wider audience.
JuliaStats has its own web page on GitHub (https://github.com/JuliaStats) that list links to various packages. The group is concerned with machine learning as well as basic and advanced statistics. Many packages provide documentation at http://readthedocs.org in addition to the markdown README file in the package itself.
In this section, I will be looking at some of the features provided by the Julia base and in StatsBase.jl, the full documentation of the latter is at http://statsbasejl.readthedocs...
