How to Install and Uninstall python3-numpy.x86_64 Package on Red Hat Enterprise Linux 9 (RHEL 9)
Last updated: November 27,2024
1. Install "python3-numpy.x86_64" package
This guide covers the steps necessary to install python3-numpy.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9)
$
sudo dnf update
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$
sudo dnf install
python3-numpy.x86_64
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2. Uninstall "python3-numpy.x86_64" package
This guide let you learn how to uninstall python3-numpy.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9):
$
sudo dnf remove
python3-numpy.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-numpy.x86_64 package on Red Hat Enterprise Linux 9 (RHEL 9)
Last metadata expiration check: 0:34:51 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : python3-numpy
Epoch : 1
Version : 1.20.1
Release : 5.el9
Architecture : x86_64
Size : 5.1 M
Source : numpy-1.20.1-5.el9.src.rpm
Repository : ubi-9-appstream-rpms
Summary : A fast multidimensional array facility for Python
URL : http://www.numpy.org/
License : BSD
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 : python3-numpy
Epoch : 1
Version : 1.20.1
Release : 5.el9
Architecture : x86_64
Size : 5.1 M
Source : numpy-1.20.1-5.el9.src.rpm
Repository : ubi-9-appstream-rpms
Summary : A fast multidimensional array facility for Python
URL : http://www.numpy.org/
License : BSD
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.