Scala random numbers in Jupyter

In this example, we simulate rolling dice and counting how many times each combination appears. We then present a simple histogram for illustrative purposes.

The script is as follows:

val r = new scala.util.Random 
r.setSeed(113L) 
val samples = 1000 
var dice = new Array[Int](12) 
for( i <- 1 to samples){ 
    var total = r.nextInt(6) + r.nextInt(6) 
    dice(total) = dice(total) + 1 
} 
val max = dice.reduceLeft(_ max _) 
for( i <- 0 to 11) { 
    var str = "" 
    for( j <- 1 to dice(i)/3) { 
        str = str + "X" 
    } 
    print(i+1, str, "\n") 
} 

We first pull in the Scala Random library. We set the seed (in order to have repeatable results). We are drawing 1000 rolls. For each roll, we increment a counter of how many times the total number of pips on die one and die two appear. We then present an abbreviated histogram of the results.

Scala has a number of shortcut methods for quickly scanning through a list/collection, as seen in the reduceLeft...