Data frames in D?

[aldanor via Digitalmars-d-learn]

On Saturday, 27 December 2014 at 10:54:01 UTC, Russel Winder via 
Digitalmars-d-learn wrote:
> I know much less about R, but the whole Python/NumPy thing 
> works but
> only because it is faster and easier than Python alone. NumPy
> performance is actually quite poor. I am finding I can write 
> Python +
> Numba code that hugely outperforms that same algorithm using 
> NumPy.
There will sure be some algorithms where numba/cython would do 
better (especially if they cannot be easily vectorized), but 
that's not the point. The thing about numpy is that it provides a 
unified accepted interface (plus a reasonable set of reasonably 
fast tools and algorithms) for arrays and buffers for a multitude 
of scientific libraries (scipy, pytables, h5py, pandas, scikit-*, 
just to name a few), which then makes it much easier to use them 
together and write your own ones.