Hello, I have installed Smallapack into Pharo 7.0.3. Thanks Nicholas. I am very unsure on my use of Smallapack. I am not a mathematician or scientist. However the only part of Smallapack I am trying to use at the moment is something that would be 64bit and compare to FloatArray so that I can do some simple accessing, slicing, sum, and average on the array. Here is some sample code I wrote just to play in a playground. I have an ExternalDoubleArray, LapackDGEMatrix, and a FloatArray samples. The ones not in use are commented out for any run. fp is a download from http://ratedata.gaincapital.com/2018/12%20December/EUR_USD_Week1.zip and unzipped to a directory. fp := '/home/jimmie/data/EUR_USD_Week1.csv' index := 0. pricesSum := 0. asum := 0. ttr := [    lines := fp asFileReference contents lines allButFirst.    a := ExternalDoubleArray new: lines size.    "la := LapackDGEMatrix allocateNrow: lines size ncol: 1.    a := la columnAt: 1."    "a := FloatArray new: lines size."    lines do: [ :line || parts price |       parts := ',' split: line.       index := index + 1.       price := Float readFrom: (parts last).       a at: index put: price.       pricesSum := pricesSum + price.       (index rem: 100) = 0 ifTrue: [          asum := a sum.     ]]] timeToRun. { index. pricesSum. asum. ttr }.  "ExternalDoubleArray an Array(337588 383662.5627699992 383562.2956199993 0:00:01:59.885)"  "FloatArray an Array(337588 383662.5627699992 383562.2954441309 0:00:00:06.555)" FloatArray is not the precision I need. But it is over 18x faster. I am afraid I must be doing something badly wrong. Python/Numpy is over 4x faster than FloatArray for the above. If I am using Smallapack incorrectly please help. Any help greatly appreciated. Thanks.