The first step is to setup an EC2 Ubuntu 16.04 instance that you can ssh into. I won't go into detail here but you should be able to easily google it.
You can get free AWS credit here https://education.github.com/pack
A better guide w/ pictures is here: https://chrisalbon.com/jupyter/run_project_jupyter_on_amazon_ec2.html (Note this doesn't include LetsEncrypt, so it only has self signed certificates)
Once you've setup an instance and ssh'd in, do the following:
| using GeometryTypes, Makie | |
| include("noise.jl") #https://gist.github.com/SimonDanisch/89779b923d77a4ecdf61246cbe24611b#file-noise4-jl | |
| # inspired by https://github.com/rougier/alien-life | |
| resolution = (1000, 1000) | |
| scene = Scene(resolution = resolution) | |
| n = 60_000 |
| # pkg"add AbstractPlotting#master" | |
| using Makie, GeometryTypes, Colors | |
| using AbstractPlotting: slider!, playbutton | |
| using Observables | |
| cd(@__DIR__) | |
| psps = [rand(50, 50, 50) for i in 1:50] | |
| mini, maxi = mapreduce(extrema, (a, b)-> (min(a[1], b[1]), max(a[2], b[2])), psps) | |
| psps_n = map(psps) do vol |