How to Install and Uninstall python-scipy Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 19,2024

1. Install "python-scipy" package

Please follow the guidelines below to install python-scipy on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-scipy
            
                    
    
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2. Uninstall "python-scipy" package

Please follow the guidance below to uninstall python-scipy on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-scipy
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-scipy package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-scipy
Priority: extra
Section: universe/python
Installed-Size: 37059
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: amd64
Version: 0.17.0-1
Provides: python2.7-scipy
Depends: python-decorator, python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~), libblas3 | libblas.so.3, libc6 (>= 2.14), libgcc1 (>= 1:4.0), libgfortran3 (>= 4.6), liblapack3 | liblapack.so.3, libstdc++6 (>= 5.2)
Recommends: g++ | c++-compiler, python-dev, python-imaging
Suggests: python-scipy-doc
Filename: pool/universe/p/python-scipy/python-scipy_0.17.0-1_amd64.deb
Size: 8733010
MD5sum: b483c2b58dd00250b188ea5dadf94a45
SHA1: 112c8e20c57493d0d469710995ca668cfd42e24a
SHA256: 738c7c57a167ce43f9187c707505be41e79ab2aa52d958ab313fdabc9aa9dd84
Description-en: scientific tools for Python
SciPy supplements the popular NumPy module (python-numpy package), gathering a
variety of high level science and engineering modules together as a single
package.
.
SciPy is a set of Open Source scientific and numeric tools for Python. It
currently supports special functions, integration, ordinary differential
equation (ODE) solvers, gradient optimization, genetic algorithms, parallel
programming tools, an expression-to-C++ compiler for fast execution, and
others.
Description-md5: ced3d90b864af7b3e63d3c7140740e93
Homepage: http://www.scipy.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Supported: 9m