On Saturday, 27 December 2014 at 13:39:59 UTC, Russel Winder via
Digitalmars-d-learn wrote:
I have ranted many times about GIL in Python, and on two
occasions spent
2 or 3 hours trying to convince Guido about the lunacy of a GIL
based
interpreted in 2014. Armin Rigo has an STM-based version in
PyPy and
CPython and has shown it can work just fine.
I wonder how TSX would work with GIL. I suppose most GIL locks
are short lived enough to be covered by TSX before it fails and
takes a lock.
In principle this is fertile territory for a new language to
take the
stage. Hence Julia. I fear D has missed the boat of this
opportunity
now. On the other hand if some real data science people begin
to do data
science with D and show that more can be done with less, and
without
loss of functionality, then there is an opportunity for
marketing and
possible traction in the market.
To be fair, you also have to compete against commercial solutions
such as SPSS, SAS and others.
Then you have OpenMP for C++ and Fortran, which it will be
difficult for D to compete with in terms of performance vs effort.
