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

Last updated: November 22,2024

1. Install "python3-tinyarray" package

Please follow the steps below to install python3-tinyarray on Ubuntu 21.10 (Impish Indri)


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

Here is a brief guide to show you how to uninstall python3-tinyarray on Ubuntu 21.10 (Impish Indri):


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

Package: python3-tinyarray
Architecture: amd64
Version: 1.2.3-2build1
Priority: optional
Section: universe/python
Source: tinyarray
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 146
Depends: python3 (<< 3.10), python3 (>= 3.9~), libc6 (>= 2.14), libgcc-s1 (>= 4.0), libstdc++6 (>= 5.2)
Filename: pool/universe/t/tinyarray/python3-tinyarray_1.2.3-2build1_amd64.deb
Size: 41544
MD5sum: e50937b1dd060ab317a75f7e8cd05238
SHA1: 9278905e69c721fcb0a643e9ee6821f8c0af6113
SHA256: 63073c189d5b3a036bec4a80a598a86bd07f2d92bbee2308f0e995de503bafb2
SHA512: b32e51250e66d985d239cfd166917d2a8d3ad56020441786d7a92ad3c7d76712043d984eb433174bb430e11246116a6b6a7c3b33d83319b49721460e5eefe351
Homepage: http://kwant-project.org/tinyarray/
Description-en: Arrays of numbers, optimized for small sizes
Tinyarray is a numerical array module for Python. The multi-dimensional
arrays it provides are best thought of as (possibly nested) tuples of numbers
that, unlike Python's built-in tuples, support mathematical operations. Like
tuples, tinyarrays are hashable and immutable and thus can be used as
dictionary keys. The module's interface is a subset of that of NumPy and
hence should be familiar to many Python programmers. Tinyarray has been
heavily optimized for small arrays: For example, common operations on 1-d
arrays of length 3 run 3-7 times faster than with NumPy. When storing many
small arrays, memory consumption is reduced by a factor of 3. In summary,
Tinyarray is a more efficient alternative to NumPy when many separate small
numerical arrays are to be used.
Description-md5: cf45424848eb6a1bec05708698ba5d1e