How to Install and Uninstall python3-numpy.x86_64 Package on Fedora 36

Last updated: November 17,2024

1. Install "python3-numpy.x86_64" package

Please follow the instructions below to install python3-numpy.x86_64 on Fedora 36


    
        
            $
        

        
            
                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 36:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python3-numpy.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-numpy.x86_64 package on Fedora 36

Last metadata expiration check: 3:00:58 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-numpy
Epoch : 1
Version : 1.22.0
Release : 2.fc36
Architecture : x86_64
Size : 5.7 M
Source : numpy-1.22.0-2.fc36.src.rpm
Repository : fedora
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.