Package Details: python-numpy-mkl 2.4.6-1

Git Clone URL: https://aur.archlinux.org/python-numpy-mkl.git (read-only, click to copy)
Package Base: python-numpy-mkl
Description: Scientific tools for Python, compiled with Intel MKL
Upstream URL: https://numpy.org
Keywords: numpy
Licenses: BSD-3-Clause
Conflicts: python-numpy
Provides: python-numpy
Submitter: bred
Maintainer: petronny (AutoUpdateBot, carlosal1015)
Last Packager: AutoUpdateBot
Votes: 37
Popularity: 0.001700
First Submitted: 2012-08-25 16:55 (UTC)
Last Updated: 2026-05-19 10:56 (UTC)

Required by (2329)

Sources (7)

Pinned Comments

MartinDiehl commented on 2026-02-18 02:28 (UTC)

@carlosal1015

Intel MKL has a symlink, so one can use

export LD_LIBRARY_PATH=/opt/intel/oneapi/mkl/latest/lib:$LD_LIBRARY_PATH

to have a version-independent solution

petronny commented on 2022-09-28 08:28 (UTC)

Prebuilt binaries of this package can be found in arch4edu.

Latest Comments

« First ‹ Previous 1 2 3 4 5 6 7 8 9 Next › Last »

RunAndTumble commented on 2020-07-27 01:25 (UTC)

Eh, that was unexpected.

RunAndTumble commented on 2019-11-18 05:29 (UTC)

Sorry, folks, I'm finishing my thesis and barely had enough time for anything else. v1.17.4 based on python3.8 and the latest icc. I completely removed python2 support. One of the tests fails, I observed a similar issue before, I'll try to find the problem.

birchwhitebrain commented on 2019-11-17 16:23 (UTC)

Since python upgraded to 3.8.0, this package no longer works. I wonder if it will be updated soon?

RunAndTumble commented on 2019-04-26 23:23 (UTC)

v 1.16.3 is out, all test are fine

RunAndTumble commented on 2019-02-10 02:12 (UTC)

I've updated the package, waiting for 1.16.2 is pointless. One of the tests has to fail, according to github, this is just a bad test, should be removed in 1.16.2. I also plan to add a patch that allows to build scipy-mkl w/o any problems. However, I'm not sure that you can use distutils properly after that.

RunAndTumble commented on 2019-02-02 13:51 (UTC)

Sorry, Folks, I think we should wait for v1.16.2 A few things seem to be broken, I tried python-numpy from the repo: it has the same issue.

RunAndTumble commented on 2019-01-14 12:43 (UTC)

1.16 is out

petronny commented on 2018-11-22 04:29 (UTC)

1.15.4 is out. Please update it.

petronny commented on 2018-09-30 10:43 (UTC)

1.15.2 is out.