How to Install and Uninstall python2-pickleshare Package on openSUSE Leap

Last updated: June 26,2024

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

1. Install "python2-pickleshare" package

Here is a brief guide to show you how to install python2-pickleshare on openSUSE Leap


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python2-pickleshare
            
                    
    
    Copied

2. Uninstall "python2-pickleshare" package

In this section, we are going to explain the necessary steps to uninstall python2-pickleshare on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python2-pickleshare
            
                    
    
    Copied

3. Information about the python2-pickleshare package on openSUSE Leap

Information for package python2-pickleshare:
--------------------------------------------
Repository : Main Repository
Name : python2-pickleshare
Version : 0.7.5-bp153.1.43
Arch : noarch
Vendor : openSUSE
Installed Size : 25,1 KiB
Installed : No
Status : not installed
Source package : python-pickleshare-0.7.5-bp153.1.43.src
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