How to Install and Uninstall python3.11-numpy.src Package on Oracle Linux 9
Last updated: October 14,2024
1. Install "python3.11-numpy.src" package
Please follow the steps below to install python3.11-numpy.src on Oracle Linux 9
$
sudo dnf update
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$
sudo dnf install
python3.11-numpy.src
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2. Uninstall "python3.11-numpy.src" package
Please follow the instructions below to uninstall python3.11-numpy.src on Oracle Linux 9:
$
sudo dnf remove
python3.11-numpy.src
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$
sudo dnf autoremove
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3. Information about the python3.11-numpy.src package on Oracle Linux 9
Last metadata expiration check: 3:42:19 ago on Thu Feb 15 07:50:05 2024.
Available Packages
Name : python3.11-numpy
Version : 1.23.5
Release : 1.el9
Architecture : src
Size : 10 M
Source : None
Repository : ol9_appstream
Summary : A fast multidimensional array facility for Python
URL : http://www.numpy.org/
License : BSD and Python and ASL 2.0
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 : python3.11-numpy
Version : 1.23.5
Release : 1.el9
Architecture : src
Size : 10 M
Source : None
Repository : ol9_appstream
Summary : A fast multidimensional array facility for Python
URL : http://www.numpy.org/
License : BSD and Python and ASL 2.0
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.