How to Install and Uninstall python311-pickleshare Package on openSUSE Leap

Last updated: July 04,2024

1. Install "python311-pickleshare" package

In this section, we are going to explain the necessary steps to install python311-pickleshare on openSUSE Leap


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python311-pickleshare
            
                    
    
    Copied

2. Uninstall "python311-pickleshare" package

Please follow the instructions below to uninstall python311-pickleshare on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python311-pickleshare
            
                    
    
    Copied

3. Information about the python311-pickleshare package on openSUSE Leap

Information for package python311-pickleshare:
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Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : python311-pickleshare
Version : 0.7.5-150400.9.3.1
Arch : noarch
Vendor : SUSE LLC
Installed Size : 30.0 KiB
Installed : No
Status : not installed
Source package : python-pickleshare-0.7.5-150400.9.3.1.src
Upstream URL : https://github.com/vivainio/pickleshare
Summary : Tiny shelve-like database with concurrency support
Description :
PickleShare - a small 'shelve' like datastore with concurrency support
Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve,
many processes can access the database simultaneously. Changing a value in
database is immediately visible to other processes accessing the same database.
Concurrency is possible because the values are stored in separate files. Hence
the "database" is a directory where *all* files are governed by PickleShare.
This module is certainly not ZODB, but can be used for low-load
(non-mission-critical) situations where tiny code size trumps the
advanced features of a "real" object database.
Installation guide: pip install path pickleshare