How to Install and Uninstall python39-numpy_1_21_4-gnu-hpc Package on openSuSE Tumbleweed

Last updated: November 23,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "python39-numpy_1_21_4-gnu-hpc" package

Please follow the step by step instructions below to install python39-numpy_1_21_4-gnu-hpc on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python39-numpy_1_21_4-gnu-hpc
            
                    
    
    Copied

2. Uninstall "python39-numpy_1_21_4-gnu-hpc" package

This is a short guide on how to uninstall python39-numpy_1_21_4-gnu-hpc on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python39-numpy_1_21_4-gnu-hpc
            
                    
    
    Copied

3. Information about the python39-numpy_1_21_4-gnu-hpc package on openSuSE Tumbleweed

Information for package python39-numpy_1_21_4-gnu-hpc:
------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-numpy_1_21_4-gnu-hpc
Version : 1.21.4-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 16,7 MiB
Installed : No
Status : not installed
Source package : python-numpy_1_21_4-gnu-hpc-1.21.4-2.1.src
Summary : NumPy array processing for numbers, strings, records and objects
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 which also makes NumPy suitable for
interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.