Hi Pierre, I agree with your point of view: the author wants to demonstrate C++ and Fortran are better than Python... and environmentally speaking he has some evidences.
We develop with Python, Cython, Numpy, and OpenCL and what annoys me most is the compilation time needed for the development of those statically typed ahead of time extensions (C++, C, Fortran). Clearly the author wants to get his article viral and in a sense he managed :). But he did not mention Julia / Numba and other JIT compiled languages (including matlab ?) that are probably outperforming the C++ / Fortran when considering the development time and test-time. Beside this the OpenMP parallelism (implicitly advertized) is far from scaling well on multi-socket systems and other programming paradigms are needed to extract the best performances from spercomputers. Cheers, Jerome _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
