How to Install and Uninstall libdata-faker-perl Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 22,2024

1. Install "libdata-faker-perl" package

In this section, we are going to explain the necessary steps to install libdata-faker-perl on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libdata-faker-perl
            
                    
    
    Copied

2. Uninstall "libdata-faker-perl" package

Please follow the instructions below to uninstall libdata-faker-perl on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libdata-faker-perl
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libdata-faker-perl package on Ubuntu 20.10 (Groovy Gorilla)

Package: libdata-faker-perl
Architecture: all
Version: 0.10-2
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 231
Depends: perl
Filename: pool/universe/libd/libdata-faker-perl/libdata-faker-perl_0.10-2_all.deb
Size: 48042
MD5sum: 074b3dbad47c380704c3193b6d0a5b65
SHA1: 150e1475bd831fb6c1920b8fa90fcf69dcd86f0d
SHA256: abda2a92be1bfda31d447cf353d90ea6147c8ab350b2cc5abba4e329c01e889f
SHA512: 649d2987f3f4f5d34005015a903232e79edb0f483780c09e90c915fcf9604d7efbb0e4af8e611ec7585b5ff2315fca878f1490118d7ff111efa55b3da1f05a29
Homepage: https://metacpan.org/release/Data-Faker
Description-en: Perl extension for generating fake data
Data::Faker creates fake (but reasonable) data that can be used for things
such as filling databases with fake information during development of
database related applications.
Description-md5: fb7abd42b8550c58dab776b1d17dee76