How to Install and Uninstall python38-lancet-ioam Package on openSuSE Tumbleweed

Last updated: May 17,2024

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

1. Install "python38-lancet-ioam" package

In this section, we are going to explain the necessary steps to install python38-lancet-ioam on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python38-lancet-ioam
            
                    
    
    Copied

2. Uninstall "python38-lancet-ioam" package

This guide let you learn how to uninstall python38-lancet-ioam on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python38-lancet-ioam
            
                    
    
    Copied

3. Information about the python38-lancet-ioam package on openSuSE Tumbleweed

Information for package python38-lancet-ioam:
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-lancet-ioam
Version : 0.9.0-2.16
Arch : noarch
Vendor : openSUSE
Installed Size : 339,7 KiB
Installed : No
Status : not installed
Source package : python-lancet-ioam-0.9.0-2.16.src
Summary : Launch jobs, organize the output, and dissect the results
Description :
Lancet is designed to help you organize the output of your research
tools, store it, and dissect the data you have collected. The output
of a single simulation or analysis rarely contains all the data you
need; Lancet helps you generate data from many runs and analyse it
using your own Python code.
Parameter spaces often need to be explored for the purpose of
plotting, tuning, or analysis. Lancet helps you extract the
information you care about from potentially enormous volumes of data
generated by such parameter exploration.