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

Last updated: December 25,2024

1. Install "python-sparse" package

Learn how to install python-sparse on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Here is a brief guide to show you how to uninstall python-sparse on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-sparse
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-sparse package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-sparse
Priority: optional
Section: universe/python
Installed-Size: 453
Maintainer: Ubuntu Developers
Original-Maintainer: Adam C. Powell, IV
Architecture: amd64
Source: pysparse
Version: 1.1-1.3build1
Provides: python2.7-sparse
Depends: python-numpy, python (>= 2.7), python (<< 2.8), libblas3 | libblas.so.3, libc6 (>= 2.14), liblapack3 | liblapack.so.3, libsuperlu4, libumfpack5.7.1
Suggests: python-sparse-examples
Filename: pool/universe/p/pysparse/python-sparse_1.1-1.3build1_amd64.deb
Size: 96182
MD5sum: 5c55811541c5dfe532362e77104de170
SHA1: 8409937190e09267cb513148c5226e89fa8175e8
SHA256: 3e807c147f96b7f27064fa00d54501e1e0ab4e42f4d7ccc8f2df881a6d462e4f
Description-en: Sparse linear algebra extension for Python
This provides 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 and robustness.
Description-md5: b44d33b98b030b882b7415954a89baae
Homepage: http://pysparse.sourceforge.net/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu