How to Install and Uninstall python3-niapy.noarch Package on Fedora 38
Last updated: November 14,2024
1. Install "python3-niapy.noarch" package
This tutorial shows how to install python3-niapy.noarch on Fedora 38
$
sudo dnf update
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$
sudo dnf install
python3-niapy.noarch
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2. Uninstall "python3-niapy.noarch" package
This guide covers the steps necessary to uninstall python3-niapy.noarch on Fedora 38:
$
sudo dnf remove
python3-niapy.noarch
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$
sudo dnf autoremove
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3. Information about the python3-niapy.noarch package on Fedora 38
Last metadata expiration check: 5:04:36 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-niapy
Version : 2.1.0
Release : 3.fc38
Architecture : noarch
Size : 351 k
Source : python-niapy-2.1.0-3.fc38.src.rpm
Repository : updates
Summary : Microframework for building nature-inspired algorithms
URL : https://github.com/NiaOrg/NiaPy
License : MIT
Description : Nature-inspired algorithms are a very popular tool for solving optimization
: problems. Numerous variants of nature-inspired algorithms have been developed
: since the beginning of their era. Those were tested in various domains on
: various applications to prove their versatility, especially when
: hybridized, modified, or adapted. However, the implementation of
: nature-inspired algorithms is sometimes a complicated, complex, and tedious
: task. In order to break this wall, NiaPy is intended for simple and quick
: use without spending time implementing algorithms from scratch.
Available Packages
Name : python3-niapy
Version : 2.1.0
Release : 3.fc38
Architecture : noarch
Size : 351 k
Source : python-niapy-2.1.0-3.fc38.src.rpm
Repository : updates
Summary : Microframework for building nature-inspired algorithms
URL : https://github.com/NiaOrg/NiaPy
License : MIT
Description : Nature-inspired algorithms are a very popular tool for solving optimization
: problems. Numerous variants of nature-inspired algorithms have been developed
: since the beginning of their era. Those were tested in various domains on
: various applications to prove their versatility, especially when
: hybridized, modified, or adapted. However, the implementation of
: nature-inspired algorithms is sometimes a complicated, complex, and tedious
: task. In order to break this wall, NiaPy is intended for simple and quick
: use without spending time implementing algorithms from scratch.