How to Install and Uninstall python3-numexpr-dbg Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 23,2024

1. Install "python3-numexpr-dbg" package

Please follow the steps below to install python3-numexpr-dbg on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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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

In this section, we are going to explain the necessary steps to uninstall python3-numexpr-dbg on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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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 16.04 LTS (Xenial Xerus)

Package: python3-numexpr-dbg
Priority: extra
Section: universe/debug
Installed-Size: 274
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: numexpr
Version: 2.4.3-1ubuntu1
Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3-dbg (<< 3.6), python3-dbg (>= 3.5~), libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 4.1.1), python3-numexpr (= 2.4.3-1ubuntu1), python3-numpy-dbg
Filename: pool/universe/n/numexpr/python3-numexpr-dbg_2.4.3-1ubuntu1_amd64.deb
Size: 97962
MD5sum: bcd535ae3ac0c3d34cfc7a67c20330b1
SHA1: 663328463b5ead3462a77d6a94a204dd7631079f
SHA256: 604bd9db06b0b0b203f2ecdb98f2c3dad8905922aef065b6a26b896b8cdde712
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
Homepage: http://code.google.com/p/numexpr/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu