My applications are mostly in Statistics/Data Analysis. Rather than dealing with a single, massive data set, I often have many medium-sized ones. I find myself applying in R or Python large amounts of maps, reduces, filters and other list manipulations that I believe Racket can perform more expressively. As an example of a building block of what I'd like to build or reuse, consider the R data.frame: an array that can be sliced by rows/ columns using logical indices, numerical indices, or names for rows and columns. Moreover, the rows and columns could be accessed as individual lists. I wonder what's the best way to do this in Racket. I am not looking for a cookbook, but something that teaches the essentials, with examples of non-standard data strucures.
-g On Fri, Jan 6, 2012 at 5:12 PM, John Clements <cleme...@brinckerhoff.org>wrote: > > On Jan 6, 2012, at 2:07 PM, Giuseppe Paleologo wrote: > > > Yes to the quick tutorial, no to the other two, as they're not my > intended application. > > I'm hoping I can ask this question without committing myself to anything > :): Can you describe a simple example project that could be the focus of > the kind of guide you're looking for? > > John Clements > >
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