How to Install and Uninstall python3-numpy.x86_64 Package on Fedora 35
Last updated: November 16,2024
1. Install "python3-numpy.x86_64" package
In this section, we are going to explain the necessary steps to install python3-numpy.x86_64 on Fedora 35
$
sudo dnf update
Copied
$
sudo dnf install
python3-numpy.x86_64
Copied
2. Uninstall "python3-numpy.x86_64" package
This guide covers the steps necessary to uninstall python3-numpy.x86_64 on Fedora 35:
$
sudo dnf remove
python3-numpy.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the python3-numpy.x86_64 package on Fedora 35
Last metadata expiration check: 0:25:10 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : python3-numpy
Epoch : 1
Version : 1.21.5
Release : 1.fc35
Architecture : x86_64
Size : 5.1 M
Source : numpy-1.21.5-1.fc35.src.rpm
Repository : updates
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 : 1.21.5
Release : 1.fc35
Architecture : x86_64
Size : 5.1 M
Source : numpy-1.21.5-1.fc35.src.rpm
Repository : updates
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.