On Saturday, 14 March 2015 at 17:22:27 UTC, Chris wrote:
On Saturday, 14 March 2015 at 00:33:43 UTC, engnieer wrote:
[1] The problem is that all these nice Python and R
implementations are practically useless for real world
applications. Too slow, too cumbersome, too many
dependencies. It has to be rewritten anyway. (I'd be happy,
if they used at least C.)
No, no, no. Your "real world" doesn't seem to include all the
engineering industries. I work for an engineer company and use
python everywhere for application code, and of course
matlab-simulink for hard realtime code.
For us, Russel's comment on super structure is right on target.
- engineer.
Unfortunately, for speech and language processing (synthesis,
speech recognition etc) Python is too slow. Everybody uses
Python at first, but the serious code that is later put into
real world applications is usually written in C or C++. This is
a fact. I know people who developed speech analysis frameworks
in Python and are now thinking of rewriting it in C++ for
commercial purposes.
Python is good for protoyping, but if you need fast
applications, it is usually C/C++ (or D).
And by the way, the fast Python code is usually a module written
in C or some Cython magic. So it's back to C again.
