How to Install and Uninstall python3-niapy.noarch Package on CentOS Stream 8
Last updated: February 04,2025
1. Install "python3-niapy.noarch" package
Please follow the instructions below to install python3-niapy.noarch on CentOS Stream 8
$
sudo dnf update
Copied
$
sudo dnf install
python3-niapy.noarch
Copied
2. Uninstall "python3-niapy.noarch" package
Here is a brief guide to show you how to uninstall python3-niapy.noarch on CentOS Stream 8:
$
sudo dnf remove
python3-niapy.noarch
Copied
$
sudo dnf autoremove
Copied
3. Information about the python3-niapy.noarch package on CentOS Stream 8
Last metadata expiration check: 4:33:40 ago on Sun Feb 25 03:03:59 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.