How to Install and Uninstall python39-ipytablewidgets Package on openSuSE Tumbleweed

Last updated: November 23,2024

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

1. Install "python39-ipytablewidgets" package

This guide covers the steps necessary to install python39-ipytablewidgets on openSuSE Tumbleweed


    
        
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                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python39-ipytablewidgets
            
                    
    
    Copied

2. Uninstall "python39-ipytablewidgets" package

In this section, we are going to explain the necessary steps to uninstall python39-ipytablewidgets on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python39-ipytablewidgets
            
                    
    
    Copied

3. Information about the python39-ipytablewidgets package on openSuSE Tumbleweed

Information for package python39-ipytablewidgets:
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Repository : openSUSE-Tumbleweed-Oss
Name : python39-ipytablewidgets
Version : 0.3.1-2.3
Arch : noarch
Vendor : openSUSE
Installed Size : 351.3 KiB
Installed : No
Status : not installed
Source package : python-ipytablewidgets-0.3.1-2.3.src
Upstream URL : https://github.com/progressivis/ipytablewidgets
Summary : Widgets to help facilitate reuse of large tables across widgets
Description :
Traitlets and widgets to efficiently data tables (e.g. Pandas DataFrame) using the jupyter notebook
ipytablewidgets is a set of widgets and traitlets to reuse of large tables such as Pandas DataFrames
across different widgets, and different packages.
The major parts of ipytablewidgets are:
- Traits/Widgets definitions
- Adapters to convert tables to those traits
- Serializers/deserializers to send the data across the network
- Apropriate javascript handling and representation of the data