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

Last updated: September 20,2024

1. Install "python3-numexpr-dbg" package

Please follow the guidance below to install python3-numexpr-dbg on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-numexpr-dbg
            
                    
    
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2. Uninstall "python3-numexpr-dbg" package

Learn how to uninstall python3-numexpr-dbg on Ubuntu 21.10 (Impish Indri):


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

Package: python3-numexpr-dbg
Architecture: amd64
Version: 2.7.2-2
Priority: extra
Section: universe/debug
Source: numexpr
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1557
Depends: python3-dbg (<< 3.10), python3-dbg (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5), python3-numexpr (= 2.7.2-2), python3-numpy-dbg
Filename: pool/universe/n/numexpr/python3-numexpr-dbg_2.7.2-2_amd64.deb
Size: 546308
MD5sum: a636e235926f03f62f66db926e0bdee9
SHA1: e76d645210bbffecb852b28fc5ca445462bef3e2
SHA256: b08c8583c46265218f25ef06be8f87ff6f770c3a561c5e9e2a6fabfc35d2fc5e
SHA512: 69f4c0bf6fa5c935f5d1cc00fc6324a56578418e49fdcffec261f89f3f6734bdbec39ef82444efc97f983e3c8780ff0b42e18305fb28d71087a8081a80dea90e
Homepage: https://github.com/pydata/numexpr
Description-en: Fast numerical array expression evaluator for Python 3 and NumPy (debug ext)
Numexpr package evaluates multiple-operator array expressions many
times faster than NumPy can. It accepts the expression as a string,
analyzes it, rewrites it more efficiently, and compiles it to faster
Python code on the fly. It's the next best thing to writing the
expression in C and compiling it with a specialized just-in-time
(JIT) compiler, i.e. it does not require a compiler at runtime.
.
This package contains the extension built for the Python 3 debug
interpreter.
Description-md5: 8c2701c9a73ea3eb8d3fab648f4f7e19
Build-Ids: 31778f43f56c4b7905d8002b6a827bac77acbcfa