Hi all, given the discussion about scipy installation happening on github I realised I have a question relating to build and install from source (OS X 10.9.5, clang-600.0.5, gfortran 4.9.0) I'm working in a Python 3 conda environment. The mkl version of numpy is installed via conda. When I try to build scipy from source it fails on a linker step against the mkl libraries because I don't have them. Is there a definitive guide on how to compile scipy in this fashion? (i.e. which Intel download I need, any config changes required, etc). A -- _____________________________________ Dr. Andrew Nelson _____________________________________
On Mon, Sep 12, 2016 at 9:41 PM, Andrew Nelson <andyfaff@gmail.com> wrote:
Hi all, given the discussion about scipy installation happening on github I realised I have a question relating to build and install from source (OS X 10.9.5, clang-600.0.5, gfortran 4.9.0)
I'm working in a Python 3 conda environment. The mkl version of numpy is installed via conda. When I try to build scipy from source it fails on a linker step against the mkl libraries because I don't have them.
That sounds like this issue: https://github.com/ContinuumIO/anaconda-issues/issues/431 Warren Is there a definitive guide on how to compile scipy in this fashion? (i.e.
which Intel download I need, any config changes required, etc).
A
-- _____________________________________ Dr. Andrew Nelson
_____________________________________
_______________________________________________ SciPy-Dev mailing list SciPy-Dev@scipy.org https://mail.scipy.org/mailman/listinfo/scipy-dev
participants (2)
-
Andrew Nelson -
Warren Weckesser