Den 18.02.2012 22:25, skrev Benjamin Root: > 2.) My personal preference is an incremental refactor over to C++ > using STL, however, I have to be realistic. First, the exception > issue is problematic (unsolvable? I don't know). Second, one of > Numpy/Scipy's greatest strengths is the relative ease it has in > interfacing with BLAS, ATLAS, mkl and other optimizations. Will this > still be possible from a C++ (or anything else) core?
Yes. > Third, I am only familiar with STL on gcc. Are there any subtle > differences in implementations of STL in MSVC or any other compilers. > Pointers are hard to mess up, in cross-platform ways. NumPy should stay with the standard, whether C or C++, ans not be written for one particular compiler. Writing code that depends on a set of known bugs in one implementation is why IE6 almost broke the internet. > 3.) Will memory-mapped arrays still be possible after the refactor? I > am not familiar with the implementation, but I am a big netcdf/hdf > user and mem-mapped arrays are important to me. Yes, that depends on the operating system, not the programming language. Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
