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

Last updated: November 21,2024

1. Install "python3-astroml" package

Here is a brief guide to show you how to install python3-astroml on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-astroml
            
                    
    
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2. Uninstall "python3-astroml" package

This guide covers the steps necessary to uninstall python3-astroml on Ubuntu 21.10 (Impish Indri):


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

Package: python3-astroml
Architecture: all
Version: 0.4.post1-6
Priority: optional
Section: universe/python
Source: astroml
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 471
Depends: python3-astropy, python3-matplotlib, python3-numpy, python3-scipy, python3-sklearn, python3:any
Recommends: python3-healpy, python3-pymc
Filename: pool/universe/a/astroml/python3-astroml_0.4.post1-6_all.deb
Size: 88936
MD5sum: fadfae4cb1fea998241a0b45f2a2ba97
SHA1: 598578ef0a900cbcf9ed5af64d847dd52f21ebf4
SHA256: f730a30c94b4019080077e72c4562137adf7c442bbebccbc8bc545924600f008
SHA512: 5622f8985a56ee35067cd5e3327ec12e5d1b9d874cb11d74738168adfa3681ae0d209dc4c5289f3f590e1ba22219c2a11f9d25ff2dea157691a83a377e0b481b
Homepage: https://www.astroml.org/
Description-en: Python 3 Machine Learning library for astronomy
AstroML is a Python 3 module for machine learning and data mining built on
numpy, scipy, scikit-learn, and matplotlib. It contains a growing library of
statistical and machine learning routines for analyzing astronomical data in
Python, loaders for several open astronomical datasets, and a large suite of
examples of analyzing and visualizing astronomical datasets.
Description-md5: 8e8a4ce58b113433cddaea867fcfe70f