How to Install and Uninstall python3-niapy.noarch Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: November 28,2024
1. Install "python3-niapy.noarch" package
This tutorial shows how to install python3-niapy.noarch on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
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$
sudo dnf install
python3-niapy.noarch
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2. Uninstall "python3-niapy.noarch" package
This is a short guide on how to uninstall python3-niapy.noarch on Red Hat Enterprise Linux 8 (RHEL 8):
$
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 Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 0:59:43 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : python3-niapy
Version : 2.0.3
Release : 1.el8
Architecture : noarch
Size : 253 k
Source : python-niapy-2.0.3-1.el8.src.rpm
Repository : epel
Summary : Micro framework for building nature-inspired algorithms
URL : https://pypi.org/pypi/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. To prove their versatility, those were tested
: in various domains on various applications, especially when they are
: hybridized, modified or adapted. However, implementation of nature-inspired
: algorithms is sometimes a difficult, complex and tedious task. In order to
: break this wall, NiaPy is intended for simple and quick use, without spending
: time for implementing algorithms from scratch.
Available Packages
Name : python3-niapy
Version : 2.0.3
Release : 1.el8
Architecture : noarch
Size : 253 k
Source : python-niapy-2.0.3-1.el8.src.rpm
Repository : epel
Summary : Micro framework for building nature-inspired algorithms
URL : https://pypi.org/pypi/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. To prove their versatility, those were tested
: in various domains on various applications, especially when they are
: hybridized, modified or adapted. However, implementation of nature-inspired
: algorithms is sometimes a difficult, complex and tedious task. In order to
: break this wall, NiaPy is intended for simple and quick use, without spending
: time for implementing algorithms from scratch.