How to Install and Uninstall perl-Number-WithError.noarch Package on Fedora 35

Last updated: June 18,2024

1. Install "perl-Number-WithError.noarch" package

Please follow the guidance below to install perl-Number-WithError.noarch on Fedora 35


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                perl-Number-WithError.noarch
            
                    
    
    Copied

2. Uninstall "perl-Number-WithError.noarch" package

This is a short guide on how to uninstall perl-Number-WithError.noarch on Fedora 35:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                perl-Number-WithError.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the perl-Number-WithError.noarch package on Fedora 35

Last metadata expiration check: 2:03:51 ago on Wed Sep 7 14:25:02 2022.
Available Packages
Name : perl-Number-WithError
Version : 1.01
Release : 24.fc35
Architecture : noarch
Size : 29 k
Source : perl-Number-WithError-1.01-24.fc35.src.rpm
Repository : fedora
Summary : Numbers with error propagation and scientific rounding
URL : https://metacpan.org/release/Number-WithError
License : GPL+ or Artistic
Description : This class is a container class for numbers with a number of associated
: symmetric and asymmetric errors. It overloads practically all common
: arithmetic operations and trigonometric functions to propagate the errors.
: It can do proper scientific rounding.
:
: You can use Math::BigFloat objects as the internal representation of numbers
: in order to support arbitrary precision calculations.
:
: Errors are propagated using Gaussian error propagation.