On Thursday, 9 August 2012 at 18:20:08 UTC, Justin Whear wrote:
On Thu, 09 Aug 2012 17:57:27 +0200, TJB wrote:

Hello D Users,

The Software Editor for the Journal of Applied Econometrics has agreed
to let me write a review of the D programming language for
econometricians (econometrics is where economic theory and statistical analysis meet). I will have only about 6 pages. I have an idea of what I am going to write about, but I thought I would ask here what features are most relevant (in your minds) to numerical programmers writing codes
for statistical inference.

I look forward to your suggestions.

Thanks,

TJB

Lazy ranges are a lifesaver when dealing with big data. E.g. read a large csv file, use filter and map to clean and transform the data, collect stats as you go, then output to a destination file. The lazy nature of most of the ranges in Phobos means that you don't need to have the data in memory, but you can write simple imperative code just as if
it was.

Ah, the beauty of functional programming and streams.

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