How to Install and Uninstall python3-numpy Package on openSUSE Leap
Last updated: November 23,2024
1. Install "python3-numpy" package
Please follow the instructions below to install python3-numpy on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-numpy
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2. Uninstall "python3-numpy" package
Please follow the steps below to uninstall python3-numpy on openSUSE Leap:
$
sudo zypper remove
python3-numpy
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3. Information about the python3-numpy package on openSUSE Leap
Information for package python3-numpy:
--------------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : python3-numpy
Version : 1.17.3-150400.28.37
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 13.3 MiB
Installed : No
Status : not installed
Source package : python3-numpy-1.17.3-150400.28.37.src
Upstream URL : http://www.numpy.org/
Summary : NumPy array processing for numbers, strings, records and objects
Description :
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.
--------------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : python3-numpy
Version : 1.17.3-150400.28.37
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 13.3 MiB
Installed : No
Status : not installed
Source package : python3-numpy-1.17.3-150400.28.37.src
Upstream URL : http://www.numpy.org/
Summary : NumPy array processing for numbers, strings, records and objects
Description :
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.