How to Install and Uninstall perl-Parallel-Iterator.noarch Package on CentOS Stream 9

Last updated: September 28,2024

1. Install "perl-Parallel-Iterator.noarch" package

Please follow the steps below to install perl-Parallel-Iterator.noarch on CentOS Stream 9


    
        
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                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                perl-Parallel-Iterator.noarch
            
                    
    
    Copied

2. Uninstall "perl-Parallel-Iterator.noarch" package

Please follow the guidance below to uninstall perl-Parallel-Iterator.noarch on CentOS Stream 9:


    
        
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                sudo dnf remove
            
                        
                perl-Parallel-Iterator.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the perl-Parallel-Iterator.noarch package on CentOS Stream 9

Last metadata expiration check: 2:26:41 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : perl-Parallel-Iterator
Version : 1.00
Release : 30.el9
Architecture : noarch
Size : 24 k
Source : perl-Parallel-Iterator-1.00-30.el9.src.rpm
Repository : epel
Summary : Simple parallel execution
URL : https://metacpan.org/release/Parallel-Iterator
License : GPL+ or Artistic
Description : The map function applies a user supplied transformation function to
: each element in a list, returning a new list containing the
: transformed elements.
:
: This module provides a 'parallel map'. Multiple worker processes are forked so
: that many instances of the transformation function may be executed
: simultaneously.
:
: For time consuming operations, particularly operations that spend most of their
: time waiting for I/O, this is a big performance win. It also provides a simple
: idiom to make effective use of multi CPU systems.