How to Install and Uninstall python3-xlsxwriter.noarch Package on Fedora 36

Last updated: November 24,2024

1. Install "python3-xlsxwriter.noarch" package

Please follow the steps below to install python3-xlsxwriter.noarch on Fedora 36


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                python3-xlsxwriter.noarch
            
                    
    
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2. Uninstall "python3-xlsxwriter.noarch" package

Please follow the step by step instructions below to uninstall python3-xlsxwriter.noarch on Fedora 36:


    
        
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                sudo dnf remove
            
                        
                python3-xlsxwriter.noarch
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-xlsxwriter.noarch package on Fedora 36

Last metadata expiration check: 3:52:47 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-xlsxwriter
Version : 3.0.3
Release : 1.fc36
Architecture : noarch
Size : 239 k
Source : python-xlsxwriter-3.0.3-1.fc36.src.rpm
Repository : fedora
Summary : Python 3 modules for writing files in the Excel 2007+ XLSX file format
URL : https://pypi.python.org/pypi/XlsxWriter
License : BSD
Description :
: XlsxWriter is a Python module for writing files in the Excel 2007+
: XLSX file format.
:
: XlsxWriter can be used to write text, numbers, formulas and hyperlinks
: to multiple worksheets and it supports features such as formatting and
: many more, including:
:
: 100% compatible Excel XLSX files.
: Full formatting.
: Merged cells.
: Defined names.
: Charts.
: Autofilters.
: Data validation and drop down lists.
: Conditional formatting.
: Worksheet PNG/JPEG images.
: Rich multi-format strings.
: Cell comments.
: Integration with Pandas.
: Textboxes.
: Memory optimization mode for writing large files.
:
: It supports Python 2.7, 3.4+, Jython and PyPy and uses standard libraries only.