How to Install and Uninstall python3-sparse Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 15,2024

1. Install "python3-sparse" package

Please follow the instructions below to install python3-sparse on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-sparse
            
                    
    
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2. Uninstall "python3-sparse" package

In this section, we are going to explain the necessary steps to uninstall python3-sparse on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-sparse
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-sparse package on Ubuntu 21.10 (Impish Indri)

Package: python3-sparse
Architecture: all
Version: 0.11.2-3
Priority: optional
Section: universe/python
Source: python-sparse
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 324
Depends: python3-numba, python3-numpy, python3-scipy (>= 0.19), python3:any
Filename: pool/universe/p/python-sparse/python3-sparse_0.11.2-3_all.deb
Size: 54752
MD5sum: 28e316e5a5b5802a701003c127b34714
SHA1: a2a2fbcf7e8fae2d17a909870a72d7d9e49b1036
SHA256: 30673ba896cdfbbc7d3a2ba3873bcbb152e10abd0f352864db8b1b1b279d3da8
SHA512: f1ddce7183f6074de594f40df725866a325d4b88148a3303c78fef62b4e6320c4b1af1d7531e3e4b9b41994b7006b1547948dcef2b51eb31541ef1185fba10af
Homepage: https://github.com/pydata/sparse
Description-en: multidimensional sparse arrays for Python
This package implements sparse multidimensional arrays on top of NumPy
and scipy.sparse. It generalizes the scipy.sparse.coo_matrix layout but
extends beyond just rows and columns to an arbitrary number of
dimensions. The original motivation is for machine learning algorithms,
but it is intended for somewhat general use.
.
It supports:
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- NumPy ufuncs (where zeros are preserved)
- Arithmetic with scalars (where zeros are preserved)
- Reductions (sum, max)
- Reshape
- Transpose
- Tensordot
- Slicing with integers, lists, and slices (with no step value)
- Concatenation and stacking
- Addition with other sparse arrays of the same shape
.
This package provides the modules for Python 3.
Description-md5: 1562b1a9e9bf72cd7e4a98f4c276b81c