How to Install and Uninstall numba-doc Package on Kali Linux

Last updated: December 30,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "numba-doc" package

Please follow the step by step instructions below to install numba-doc on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                numba-doc
            
                    
    
    Copied

2. Uninstall "numba-doc" package

This is a short guide on how to uninstall numba-doc on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                numba-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the numba-doc package on Kali Linux

Package: numba-doc
Source: numba
Version: 0.55.2+dfsg-1
Installed-Size: 19183
Maintainer: Debian Science Maintainers
Architecture: all
Depends: libjs-sphinxdoc (>= 4.3), sphinx-rtd-theme-common (>= 1.0.0+dfsg)
Recommends: python3-numba
Size: 810920
SHA256: c4998d6bd177ff7afc0da3ef43e460258dfb48ef31aa0637901710c65863e4d2
SHA1: 412ffdb96723ea092aebdef1ba6015af3deb9e77
MD5sum: 1081ec51a2297b8f914a16515a75cbd8
Description: native machine code compiler for Python (docs)
Numba compiles native machine code instructions from Python programs at
runtime using the LLVM compiler infrastructure. Just-in-time compilation with
Numba could be easily employed by decorating individual computation intensive
functions in the Python code.
Numba could significantly speed up the performance of computations, and
optionally supports compilation to run on GPU processors through Nvidia's
CUDA platform.
It integrates well with the Python scientific software stack, and
especially recognizes Numpy arrays.
.
This package contains the documentation and examples.
Description-md5: c0dcfd237d66973e0d104bb73c082a8e
Homepage: https://numba.pydata.org/
Section: doc
Priority: optional
Filename: pool/main/n/numba/numba-doc_0.55.2+dfsg-1_all.deb