On Wednesday, 25 September 2013 at 03:41:36 UTC, Jay Norwood
wrote:
I've been playing with the python pandas app enables
interactive manipulation of tables of data in their dataframe
structure, which they say is similar to the structures used in
R.
It appears pandas has laid claim to being a faster version of
R, but is doing so basically limited to what they can exploit
from moving operations back and forth from underlying cython
code.
Has anyone written an example app in D that manipulates
dataframe type structures?
Pandas has numpy as "backend" which does a lot of heavy lifting,
so first things first -- imo D needs a fast and flexible
blas/lapack-compatible multi-dimensional rectangular array
library that could later serve as backend for pandas-like
libraries.
