On Tuesday, 23 December 2014 at 13:28:22 UTC, aldanor wrote:
On Tuesday, 23 December 2014 at 07:51:18 UTC, Oren Tirosh wrote:
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.
That's an interesting idea, how would you approach it though
with a compiled non-functional language? Maybe in the same way
the %%cython magic is done?
I think the trick used by http://drepl.dawg.eu is to
incrementally compile each command as a subclass of the previous
one, link it as a shared object, load it and call a function.
