How to Install and Uninstall python3-ck Package on Ubuntu 21.10 (Impish Indri)

Last updated: January 11,2025

1. Install "python3-ck" package

Please follow the guidelines below to install python3-ck on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-ck
            
                    
    
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2. Uninstall "python3-ck" package

Here is a brief guide to show you how to uninstall python3-ck on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-ck
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-ck package on Ubuntu 21.10 (Impish Indri)

Package: python3-ck
Architecture: all
Version: 1.9.4-1.1
Priority: optional
Section: universe/python
Source: python-ck
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Grigori Fursin
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 652
Depends: python3:any
Filename: pool/universe/p/python-ck/python3-ck_1.9.4-1.1_all.deb
Size: 100692
MD5sum: 974a418a9f21269f715161b2b14aa6ed
SHA1: b9f4ef49c958d8b79533e27a35852ec629756263
SHA256: dc3b245ec2c7a314816b855834a9aaac6e909a2ce92074363a5269ae7359f8cd
SHA512: 3b95483b9d2d7c8afc4fcecbdeb71f9fd24ba68f4de6aa9061aea1daf46ba8b62b7a5beff06b11898c2852f33a2ed0be257f48de56273f51691a3eb93ca91cd4
Homepage: http://github.com/ctuning/ck
Description-en: Python3 light-weight knowledge manager
Collective Knowledge Framework and Repository (CK)
is a small and portable Python application to organize,
cross-link, share and reuse research artifacts.
CK helps decompose complex and hardwired experimental
workflows into unified and reusable components
with simple JSON API and meta-description shared via GitHub
or any other web service. CK can complement Docker
and Virtual Machines while helping researchers
quickly prototype their ideas from shared components
as LEGO(TM), crowdsource experiments, share knowledge,
reproduce results and create interactive articles.
Full documentation and results of GCC/LLVM crowdtuning
(collaborative program optimization and machine learning)
are available at https://github.com/ctuning/ck/wiki
and http://cknowledge.org/repo
.
This is the Python 3 version of this package.
Description-md5: f889d3b5cad4fafc6a3cc67e4726f85e