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

Last updated: November 26,2024

1. Install "python3-amp" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-amp
            
                    
    
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2. Uninstall "python3-amp" package

This is a short guide on how to uninstall python3-amp on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-amp
            
                    
    
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            $
        

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

Package: python3-amp
Architecture: amd64
Version: 0.6.1-1build4
Priority: optional
Section: universe/science
Source: amp
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1514
Depends: python3-ase (>= 3.14.0~), python3-scipy, python3 (<< 3.10), python3 (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3:any (>= 3.5~), libc6 (>= 2.29), libgcc-s1 (>= 4.0), libgfortran5 (>= 10)
Recommends: python3-matplotlib
Filename: pool/universe/a/amp/python3-amp_0.6.1-1build4_amd64.deb
Size: 239132
MD5sum: 5535037356e3929d7268e5fd887e3bcb
SHA1: b688551bf776635a1956d215b666e2e5d32fac3e
SHA256: acc7862e476cec24f69cf2e97f10697033a86e88c83f2ee6b94817a999b0b224
SHA512: 29a82d98f3eb8452080fef641c94e4a3f123c33903554ab0faeec9aef70aa86cc8aa20965fbb9232023cb4ad9689068a826fa3ad56c0dd363586d2c70049c67c
Homepage: https://bitbucket.org/andrewpeterson/amp
Description-en: Atomistic Machine-learning Package (python 3)
Amp is an open-source package designed to easily bring machine-learning to
atomistic calculations. This project is being developed at Brown University in
the School of Engineering, primarily by Andrew Peterson and Alireza Khorshidi,
and is released under the GNU General Public License. Amp allows for the
modular representation of the potential energy surface, allowing the user to
specify or create descriptor and regression methods.
.
Amp is designed to integrate closely with the Atomic Simulation Environment
(ASE). As such, the interface is in pure python, although several
compute-heavy parts of the underlying code also have fortran versions to
accelerate the calculations. The close integration with ASE means that any
calculator that works with ASE ─ including EMT, GPAW, DACAPO, VASP, NWChem,
and Gaussian ─ can easily be used as the parent method.
.
This package provides the python 3 modules.
Description-md5: c4cc9c2a8cdc16940dc3ed6cf18cff9e