My "prejudice", based on training people in Python and C++ over
the last few years, is that Python and C++ have a very strong
position in the bioinformatics community, with the use of
IPython (now becoming Jupyter) increasing and solidifying the
Python position.
It's just possible there is a selection effect ;) Plus the
future may not be like the past.
D's position is quite weak here because one of the important
things is visualising data, something SciPy/Matplotlib are very
good at. D has no real play in this arena and so there is no
way (currently) of
creating a foothold. Sad, but…
You're right about the lack of visualization being a shame. I
have been thinking about porting Bokeh bindings to D. There
isn't much too it on the server side - all you need to do is
build up the object model and translate it to JSON - but I have
not time right now to do it all myself.
https://github.com/bokeh/bokeh
I did port MathGL C API to D, although I haven't tested yet
beyond the simplest example. The C++ bindings aren't so much
work to add, although even the C API is not so ugly.
http://mathgl.sourceforge.net/doc_en/Main.html
