How to Install and Uninstall python310-numpy_1_26_2-gnu-hpc Package on openSuSE Tumbleweed

Last updated: November 08,2024

1. Install "python310-numpy_1_26_2-gnu-hpc" package

Please follow the guidelines below to install python310-numpy_1_26_2-gnu-hpc on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python310-numpy_1_26_2-gnu-hpc
            
                    
    
    Copied

2. Uninstall "python310-numpy_1_26_2-gnu-hpc" package

This guide covers the steps necessary to uninstall python310-numpy_1_26_2-gnu-hpc on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python310-numpy_1_26_2-gnu-hpc
            
                    
    
    Copied

3. Information about the python310-numpy_1_26_2-gnu-hpc package on openSuSE Tumbleweed

Information for package python310-numpy_1_26_2-gnu-hpc:
-------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-numpy_1_26_2-gnu-hpc
Version : 1.26.2-4.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 17.8 MiB
Installed : No
Status : not installed
Source package : python-numpy_1_26_2-gnu-hpc-1.26.2-4.2.src
Upstream URL : http://www.numpy.org/
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.