[SciPy-Dev] Is it true that scipy.linalg is always compiled with BLAS/LAPACK support?

[Robert Sare]

numpy.show_config() should print out the LA library paths for your
installed version of numpy.

Or you can use ldd to check what libraries are linked against numpy object
files like

$ ldd /<path-to-site-packages>/numpy/core/_dotblas.so

$ ldd /<path_to_site-packages>/numpy/core/multiarray.so

Best,
Rob

On 17 December 2017 at 10:48, Robert Lucente - Pipeline.Com <
rlucente at pipeline.com> wrote:

> I am currently helping Tim W. prepare for a data science meetup in
> Pittsburgh. On the associated github page
> (https://github.com/timsetsfire/regression-from-
> scratch/blob/5f00d23bc83768e
> de39b60f46015869ddd848222/Regression%20from%20Scratch.ipynb) he states
>
> scipy.linalg vs numpy.linalg
>
> scipy.linalg contains all the functions in numpy.linalg. plus some other
> more advanced ones not contained in numpy.linalg
>
> Another advantage of using scipy.linalg over numpy.linalg is that it is
> always compiled with BLAS/LAPACK support, while for numpy this is optional.
> Therefore, the scipy version might be faster depending on how numpy was
> installed
>
> As a newbie, how would I go about trying to answer the above question
> myself?
>
>
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