How to Install and Uninstall python2-numpy.x86_64 Package on Rocky Linux 8
Last updated: November 28,2024
1. Install "python2-numpy.x86_64" package
This is a short guide on how to install python2-numpy.x86_64 on Rocky Linux 8
$
sudo dnf update
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$
sudo dnf install
python2-numpy.x86_64
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2. Uninstall "python2-numpy.x86_64" package
This is a short guide on how to uninstall python2-numpy.x86_64 on Rocky Linux 8:
$
sudo dnf remove
python2-numpy.x86_64
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$
sudo dnf autoremove
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3. Information about the python2-numpy.x86_64 package on Rocky Linux 8
Last metadata expiration check: 2:12:40 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : python2-numpy
Epoch : 1
Version : 1.14.2
Release : 16.module+el8.5.0+706+735ec4b3
Architecture : x86_64
Size : 3.7 M
Source : numpy-1.14.2-16.module+el8.5.0+706+735ec4b3.src.rpm
Repository : appstream
Summary : A fast multidimensional array facility for Python
URL : http://www.numpy.org/
License : BSD and Python
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.
:
: There are also basic facilities for discrete fourier transform,
: basic linear algebra and random number generation. Also included in
: this package is a version of f2py that works properly with NumPy.
Available Packages
Name : python2-numpy
Epoch : 1
Version : 1.14.2
Release : 16.module+el8.5.0+706+735ec4b3
Architecture : x86_64
Size : 3.7 M
Source : numpy-1.14.2-16.module+el8.5.0+706+735ec4b3.src.rpm
Repository : appstream
Summary : A fast multidimensional array facility for Python
URL : http://www.numpy.org/
License : BSD and Python
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.
:
: There are also basic facilities for discrete fourier transform,
: basic linear algebra and random number generation. Also included in
: this package is a version of f2py that works properly with NumPy.