How to Install and Uninstall python-sparse-examples Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: January 26,2025

1. Install "python-sparse-examples" package

Please follow the guidance below to install python-sparse-examples on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-sparse-examples
            
                    
    
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2. Uninstall "python-sparse-examples" package

Learn how to uninstall python-sparse-examples on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-sparse-examples
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-sparse-examples package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-sparse-examples
Priority: optional
Section: universe/doc
Installed-Size: 216
Maintainer: Ubuntu Developers
Original-Maintainer: Adam C. Powell, IV
Architecture: all
Source: pysparse
Version: 1.1-1.3build1
Depends: python (>= 2.7), python (<< 2.8), python-sparse (>= 1.1-1.3build1)
Filename: pool/universe/p/pysparse/python-sparse-examples_1.1-1.3build1_all.deb
Size: 146888
MD5sum: f0461ae78af7f480513335c5f918006c
SHA1: 6d0693302caabbb976b7223548cf03b335944827
SHA256: 1ea03f162a28d4ed10b1caffde185eaf3ac0726bf2284ba2bbf0411a7418b9c8
Description-en: Sparse linear algebra extension for Python: documentation
This package provides documents and examples for python-sparse, a set of
sparse matrix types for Python, with modules which implement:
- Iterative methods for solving linear systems of equations
- A set of standard preconditioners
- An interface to a direct solver for sparse linear systems of equations
- The JDSYM eigensolver
.
All of these modules are implemented as C extension modules based on standard
sparse and dense matrix libraries (UMFPACK/AMD, SuperLU, BLAS/LAPACK) for
maximum performance.
Description-md5: d019babaf5336dfce8bffbd86e417265
Homepage: http://pysparse.sourceforge.net/
Python-Version: all
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu