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).
What you are saying is not wrong, except for the generalizations
to "everybody".
Obviously you are not aware of the other people/industries who
use python for non-performane critical applications (not
prototype, but real large applications), there are several
reasons, but don't want to bore you with details (one of which is
the "super structure").
I do wish we were using D everywhere, and I do use it for
personal and small tools at the job.
- engineer
