[SciPy-User] Install Scipy with Anaconda's MKL libraries

[Matthieu Brucher]

Why do you want to pay Intel? You can install the MKL and develop with it,
no sweat.

2017-04-30 22:41 GMT+01:00 David Hagen <david at drhagen.com>:

> > Welcome to the world of pain with building scientific packages from
> source on Windows!
>
> I am beginning to feel it.
>
> > You need Fortran and C/C++ compilers on Windows to build scipy from
> source
>
> I have MinGW-w64 installed, which seems to be the recommended method.
>
> > I’m pretty sure that anaconda does not come with the development files
> for MKL, only the runtime files.
>
> I understand now. It looks like MKL is not the way to go unless I want to
> pay Intel.
>
> > If you don't need mkl and lapack/blas is good enough, then
> m2w64-toolchain from conda should have all necessary dependencies for
> building scipy.
>
> My only goal is to install and use Scipy master somewhere where it won't
> break my stable installation. I thought Anaconda would be a good place to
> start because once I activate an Anaconda environment, I should be able to
> treat like a normal Python installation and follow the normal
> install-from-source instructions. I went ahead and installed that
> m2w64-toolchain package, but it still doesn't find any BLAS/LAPACK. Maybe I
> should change my question to: how do I install Scipy on Windows from
> source? Though when I search for this specifically on the web, the answer
> seems to be "Don't.". It seems that MinGW-w64 and ATLAS are recommended by
> Scipy. Do you know of a conda/pip package that provides ATLAS for building
> Scipy or another more suitable BLAS/LAPACK?
>
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>


-- 
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