On Saturday, 22 March 2014 at 12:06:37 UTC, Russel Winder wrote:
On Sat, 2014-03-22 at 00:14 +0000, Daniel Davidson wrote:
[…]
Maybe a good starting point would be to port some of QuantLib
and see how the performance compares. In High Frequency
Trading I think D would be a tough sell, unfortunately.
I would certainly agree that (at least initially) pitching D
against the Excel/Python/R/Julia/Mathematica is an easier
fight. The question is how to convince someone to take the
first step.
In that case, a good start might be a D kernel for
IPython/Jupyter. Seeing an interactive D REPL session inside a
notebook should make a pretty convincing demo.
