Package Details: python-numpy-mkl-bin 1.20.1.anaconda0-1

Git Clone URL: https://aur.archlinux.org/python-numpy-mkl-bin.git (read-only, click to copy)
Package Base: python-numpy-mkl-bin
Description: Scientific tools for Python - with Intel MKL - prebuilt binaries from Anaconda
Upstream URL: https://www.numpy.org/
Licenses: custom
Conflicts: python-numpy
Provides: python-numpy, python-numpy-mkl
Submitter: chrisjbillington
Maintainer: chrisjbillington
Last Packager: chrisjbillington
Votes: 1
Popularity: 0.000234
First Submitted: 2019-11-18 03:28
Last Updated: 2021-04-23 00:28

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Latest Comments

chrisjbillington commented on 2021-04-23 00:35

Anaconda have now updated numpy and the rest of the mkl stack, so I've updated these packages. pandas and matplotlib are happy with this package once again. However, intel-mkl and openmp in the Arch repos are out of date and these python-*-mkl-bin packages require the latest version.

It is against the AUR submission rules to add a package to the AUR solely because the package in the repositories is out of date, so here are two PKGBUILDs in the form of pastebin pastes for the latest intel-mkl and intel-openmp, (both prebuilt binaries from anaconda), you can use these until the packages in the repos are updated:

intel-mkl PKGBUILD

intel-openmp PKGBUILD

chrisjbillington commented on 2021-03-27 00:26

The latest matplotlib also requires numpy 1.20. So, as with pandas, you'll either need to hold back matplotlib, or use the regular numpy from the repos until anaconda releases a numpy 1.20 build.

chrisjbillington commented on 2021-02-15 05:05

Note: The latest pandas (and possibly other packages) in the repos currently requires numpy 1.20, for which there is not yet an MKL package from Anaconda.

If you get an error like numpy.dtype size changed, may indicate binary incompatibility from pandas, you should downgrade pandas or use numpy 1.20 from the repos instead of this package, until Anaconda release a build for numpy 1.20.

chrisjbillington commented on 2020-12-02 05:32

Note: Broken until anaconda starts shipping a version built for Python 3.9.

Edit: New release for 3.9 is here, not broken anymore!