How to Install and Uninstall python-geomdl-doc.noarch Package on Fedora 39

Last updated: January 08,2025

1. Install "python-geomdl-doc.noarch" package

Here is a brief guide to show you how to install python-geomdl-doc.noarch on Fedora 39


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                python-geomdl-doc.noarch
            
                    
    
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2. Uninstall "python-geomdl-doc.noarch" package

This guide let you learn how to uninstall python-geomdl-doc.noarch on Fedora 39:


    
        
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                sudo dnf remove
            
                        
                python-geomdl-doc.noarch
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python-geomdl-doc.noarch package on Fedora 39

Last metadata expiration check: 3:48:09 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : python-geomdl-doc
Version : 5.3.1
Release : 20.fc39
Architecture : noarch
Size : 3.4 M
Source : python-geomdl-5.3.1-20.fc39.src.rpm
Repository : fedora
Summary : Documentation for geomdl
URL : https://onurraufbingol.com/NURBS-Python/
License : CC-BY-4.0
Description : NURBS-Python (geomdl) is a pure Python, self-contained, object-oriented
: B-Spline and NURBS spline library for Python versions 2.7.x, 3.4.x and later.
:
: NURBS-Python (geomdl) provides convenient data structures and highly
: customizable API for rational and non-rational splines along with the efficient
: and extensible implementations of the following algorithms:
:
: • Spline evaluation
: • Derivative evaluation
: • Knot insertion
: • Knot removal
: • Knot vector refinement
: • Degree elevation
: • Degree reduction
: • Curve and surface fitting via interpolation and least squares approximation
:
: NURBS-Python (geomdl) also provides customizable visualization and animation
: options via Matplotlib, Plotly and VTK libraries. Please refer to the
: documentation (http://nurbs-python.readthedocs.io/) for more details.