Quoting Ofer <[email protected]>:
If c++ code also needs to be maintained, then do you think c++ is easier to
maintain than python code? Lets focus on the language and assume for the
discussion that the c++ libraries allowed by IPOL exist and are stable in
python.
In my opinion, once the code is written, both C/C++ and Python sources
would cost the same in terms of maintenance.
The main problems I see are:
1) Python is very slow.
2) The existance of long-term stable versions of the libraries for
numeric computation available in Python. For C/C++ we could find some,
but I'm not so confident with Python. The excerpt Nicolas showed is a
good example.
If we could find long-term stable libraries for numeric computating
and parallelization of the execution, and as well a way to efficiently
clusterize many machines or using a NUMA architecture to bypass the
slow execution of Python, I'd strongly recommed the use Python as the
main language.
But for the moment, this hasn't arrived and C/C++ is still the best
option for us.
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