rohitfarmer

Building a Singularity Container for Machine Learning, Data Science, & Chemistry

Learning Objectives

1. Build a Linux based Singularity container.
   • First build a writable sandbox with essential elements.
   • Inspect the container.
   • Install additional software.
   • Convert the sandbox to a read-only SquashFS container image.
2. Install software & packages from multiple sources.

• Using apt-get package management system.

mstrimas

library(tidyverse)
library(gganimate)
library(hrbrthemes)

# generate a jagged polygon
set.seed(1)
n <- 60
theta <- (runif(n) + 1:n - 1) * 2 * pi / n
radius <- rgamma(n, shape = 3)
radius <- radius / max(radius)