Whilst the hardcore Pythonistas remain Pythonistas, some of the
periphery has jumped ship to Go. Sadly D did not capture these
folk, it perhaps should have done. It would be easy to blame
fadism, but I think the actual reasons are far less superficial.
So I gather that you agree that "what everyone is doing" may not
be the best in this case (python vs D) if there are no direct
network effects beyond libraries and getting help and you have
the freedom to determine your own platform choices?
For me, NumPy has some serious problems despite being the
accepted norm for computational work.
If not too offtopic, do you have a link describing, or would you
briefly summarize these problems? I am intrigued. And what
would you suggest in its place? Fortran?
Out of curiosity, what do you use D for given your views about
the redundancy of C type languages for non-system programming?
In a sense I could rightly be labelled a D dilettante. I had a
possible startup a couple of years ago where we would have used
D, but it never started. A side-effect was that I gave some
support to David Simcha creating std.parallelism, but for the
last couple of years my income has come from Python or
Groovy/GPars with no real D activity.
Would you consider D stable enough/suitable for general financial
market work with development initially by a small underresourced
team? Not ultra high frequency execution - at most legging in
and managing longer term positions. But I am more interested in
sentiment analysis, producing technical analysis indicators that
summarize market activity across many different securities, some
bond arb stuff. C++ just seems so ugly, and I feel uncomfortable
only having python in the toolbox. D seems so far to be quite
suitable...
