Julia is a powerful/efficient/high-level computer programming language. You can get into interacting mode right-away with:
julia
You may need to install packages, which can be done as follows:
import Pkg; Pkg.add("Distributions")
Once this is done (once for ever on a given machine), you can then be:
using Distributions
Let us generate ten thousands random points following a squared-uniform probability distribution, $X^2$.
lst=[rand()^2 for i=1:10^5]
and after
using Plots
histogram(lst)
The theoretical result is obtained by differentiating the cumulative function, $f_{X^2}=dF_{X^2}/dx$, with
$$F_{X^2}(x)\equiv\mathbb{P}(X^2\le x)$$
but $\mathbb{P}(X^2\le x)=\mathbb{P}(X\le\sqrt{x})=\sqrt{x}$, since the probability is uniform. Therefore:
$$f_{X^2}(x)={1\over2\sqrt{x}}$$
Let us check:
f(x)=1/(2*sqrt(x)) histogram(lst,norm=true) plot!(f,.01,1, linewidth = 4, linecolor = :red, linealpha=0.75)
The ! means to plot on the existing display. This seems to work indeed: