How to Install and Uninstall python3-astroML.noarch Package on Fedora 39
Last updated: January 16,2025
1. Install "python3-astroML.noarch" package
Please follow the guidance below to install python3-astroML.noarch on Fedora 39
$
sudo dnf update
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$
sudo dnf install
python3-astroML.noarch
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2. Uninstall "python3-astroML.noarch" package
This guide covers the steps necessary to uninstall python3-astroML.noarch on Fedora 39:
$
sudo dnf remove
python3-astroML.noarch
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$
sudo dnf autoremove
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3. Information about the python3-astroML.noarch package on Fedora 39
Last metadata expiration check: 5:33:10 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : python3-astroML
Version : 1.0.2.post1
Release : 5.fc39
Architecture : noarch
Size : 311 k
Source : python-astroML-1.0.2.post1-5.fc39.src.rpm
Repository : fedora
Summary : Python tools for machine learning and data mining in Astronomy
URL : http://www.astroml.org/
License : BSD
Description : AstroML is a Python module for machine learning and data mining built on
: numpy, scipy, scikit-learn, and matplotlib, and distributed under the
: 3-clause BSD license. 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.
Available Packages
Name : python3-astroML
Version : 1.0.2.post1
Release : 5.fc39
Architecture : noarch
Size : 311 k
Source : python-astroML-1.0.2.post1-5.fc39.src.rpm
Repository : fedora
Summary : Python tools for machine learning and data mining in Astronomy
URL : http://www.astroml.org/
License : BSD
Description : AstroML is a Python module for machine learning and data mining built on
: numpy, scipy, scikit-learn, and matplotlib, and distributed under the
: 3-clause BSD license. 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.