How to Install and Uninstall python3-tinyarray Package on Kali Linux

Last updated: November 22,2024

1. Install "python3-tinyarray" package

In this section, we are going to explain the necessary steps to install python3-tinyarray on Kali Linux


    
        
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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

Please follow the steps below to uninstall python3-tinyarray on Kali Linux:


    
        
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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 Kali Linux

Package: python3-tinyarray
Source: tinyarray (1.2.3-4)
Version: 1.2.3-4+b4
Installed-Size: 275
Maintainer: Debian Python Team
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), libc6 (>= 2.14), libgcc-s1 (>= 4.0), libstdc++6 (>= 5.2)
Size: 53488
SHA256: 4f6e1e4ba156ba531def3b25c50031825b9a54dfc6e2b780e8ee2d1fefd809a3
SHA1: 33e9695c742a42d590dc6c502091a5e3a345d5a5
MD5sum: e1d7bac7c6f8d6d00c3b9766c23bd3c8
Description: 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:
Homepage: https://kwant-project.org/tinyarray/
Section: python
Priority: optional
Filename: pool/main/t/tinyarray/python3-tinyarray_1.2.3-4+b4_amd64.deb