How to Install and Uninstall python38-numpy.x86_64 Package on Oracle Linux 8

Last updated: November 29,2024

1. Install "python38-numpy.x86_64" package

Here is a brief guide to show you how to install python38-numpy.x86_64 on Oracle Linux 8


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                python38-numpy.x86_64
            
                    
    
    Copied

2. Uninstall "python38-numpy.x86_64" package

This tutorial shows how to uninstall python38-numpy.x86_64 on Oracle Linux 8:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python38-numpy.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python38-numpy.x86_64 package on Oracle Linux 8

Last metadata expiration check: 0:02:19 ago on Mon Sep 12 02:51:38 2022.
Available Packages
Name : python38-numpy
Version : 1.17.3
Release : 6.module+el8.5.0+20371+4f24d723
Architecture : x86_64
Size : 4.7 M
Source : numpy-1.17.3-6.module+el8.5.0+20371+4f24d723.src.rpm
Repository : ol8_appstream
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.