How to Install and Uninstall numpy.src Package on Oracle Linux 9
Last updated: November 28,2024
1. Install "numpy.src" package
Please follow the guidelines below to install numpy.src on Oracle Linux 9
$
sudo dnf update
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$
sudo dnf install
numpy.src
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2. Uninstall "numpy.src" package
This tutorial shows how to uninstall numpy.src on Oracle Linux 9:
$
sudo dnf remove
numpy.src
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$
sudo dnf autoremove
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3. Information about the numpy.src package on Oracle Linux 9
Last metadata expiration check: 3:10:26 ago on Thu Feb 15 07:50:05 2024.
Available Packages
Name : numpy
Epoch : 1
Version : 1.20.1
Release : 5.0.1.el9
Architecture : src
Size : 24 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 : numpy
Epoch : 1
Version : 1.20.1
Release : 5.0.1.el9
Architecture : src
Size : 24 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.