I fully agree with you. But you have to consider the following: - the officially mingw-w64 toolchains are build almost the same way. The only difference is, that they have non-static builds (that would be preferable for C++ development BTW) - you won't get the necessary addons like spec-files, manifest resource files for msvcr90,100 from there. - there is a urgent need for a free and portable C,C++, Fortran compiler for Windows with full blas, lapack support. You won't get that with numpy-MKL, but with a GNU toolchain and OpenBLAS. Not everyone can buy the Intel Fortran compiler or is allowed to install it. - you can build 3rd party extensions which use blas,lapack directly or with cython with such a toolchain regardless if you use numpy/scipy-MKL or mingw-based numpy/scipy - The licence question of numpy-MKL is unclear. I know that MKL is linked in statically. But can I redistribite it myself or use it in commercial context without buying a Intel licence?
Carl 2014-01-30 Sturla Molden <sturla.mol...@gmail.com>: > On 30/01/14 12:01, Carl Kleffner wrote: > > > My conclusion is: mixing different compiler architectures for building > > Python extensions on Windows is possible but makes it necessary to build > > a 'vendor' gcc toolchain. > > Right. > > This makes a nice twist on the infamous XML and Regex story: > > - There once was a man who had a problem building NumPy. Then he > thought, "I'll just use a custom compiler toolchain." Now he had two > problems. > > Setting up a custom GNU toolchain for NumPy on Windows would not be > robust enough. And when there be bugs, we have two places to look for > them instead of one. > > By using a tested and verified compiler toolchain, there is one place > less things can go wrong. I would rather consider distributing NumPy > binaries linked with MKL, if Intel's license allows it. > > Sturla > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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