How to Install and Uninstall python3-dateparser.noarch Package on CentOS Stream 9

Last updated: October 05,2024

1. Install "python3-dateparser.noarch" package

Please follow the steps below to install python3-dateparser.noarch on CentOS Stream 9


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                python3-dateparser.noarch
            
                    
    
    Copied

2. Uninstall "python3-dateparser.noarch" package

This guide let you learn how to uninstall python3-dateparser.noarch on CentOS Stream 9:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python3-dateparser.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-dateparser.noarch package on CentOS Stream 9

Last metadata expiration check: 1:43:19 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : python3-dateparser
Version : 1.1.7
Release : 3.el9
Architecture : noarch
Size : 378 k
Source : python-dateparser-1.1.7-3.el9.src.rpm
Repository : epel
Summary : Python parser for human readable dates
URL : https://github.com/scrapinghub/dateparser
License : BSD-3-Clause
Description : Key Features
:
: • Support for almost every existing date format: absolute dates, relative
: dates ("two weeks ago" or "tomorrow"), timestamps, etc.
: • Support for more than 200 language locales.
: • Language autodetection
: • Customizable behavior through settings.
: • Support for non-Gregorian calendar systems.
: • Support for dates with timezones abbreviations or UTC offsets
: ("August 14, 2015 EST", "21 July 2013 10:15 pm +0500"…)
: • Search dates in longer texts.