Data frames in D?

[Laeeth Isharc via Digitalmars-d-learn]

"
> REPLs are over-hyped and have become a fashion touchstone that 
> few dare argue against for fear of being denounced as un-hip. 
> REPLs have their
> place, but in the main are nowhere near as useful as people 
> claim.
> IPython Notebooks on the other hand are a balance between
> editor/execution environment and REPL that really has a lot 
> going for
> it."

Fair argument against an earlier poster but from my perspective, 
all I meant is that the absence of a shell is not a good reason 
to write off D for exploring data.  Because there is a shell 
already that could be developed, and because one can call D from 
python / Julia in a notebook.

>Stats folks using R, love R and hate Python. Stats folk using
> Python, love Python and hate R. In the end it's all about what 
> you know and can use to get the job done. To be frank (as in 
> open rather than Jill), D hasn't got the infrastructure to 
> compete with either R or Python and so is a non-starter in the 
> data science arena.

About the future you may or may not be right.  (Whether it is 
commercially interesting to run workshops in D for stats people 
is certainly a interesting question.  However given the ways that 
technology unfolds it may be that it is less relevant for the 
question I am most interested today in answering).

I want to do things in D myself, and I would find a data frame 
helpful.  I understand you don't program much in D these days, 
and that's a reasonable decision, but for those who want to use 
it to do quantish things with dataframes, perhaps we could think 
about how to approach the problem.  And having weighed your 
warnings, if you have any suggestions on how best to implement 
this, I would be open to these also.


Laeeth.