How to Install and Uninstall nest-doc.noarch Package on Fedora 38
Last updated: November 27,2024
1. Install "nest-doc.noarch" package
This tutorial shows how to install nest-doc.noarch on Fedora 38
$
sudo dnf update
Copied
$
sudo dnf install
nest-doc.noarch
Copied
2. Uninstall "nest-doc.noarch" package
Please follow the steps below to uninstall nest-doc.noarch on Fedora 38:
$
sudo dnf remove
nest-doc.noarch
Copied
$
sudo dnf autoremove
Copied
3. Information about the nest-doc.noarch package on Fedora 38
Last metadata expiration check: 5:48:11 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : nest-doc
Version : 3.6
Release : 8.fc38
Architecture : noarch
Size : 5.6 M
Source : nest-3.6-8.fc38.src.rpm
Repository : updates
Summary : Documentation for nest
URL : http://www.nest-simulator.org/
License : GPL-2.0-or-later and MIT and LGPL-2.1-or-later
Description : NEST is a simulator for spiking neural network models that focuses on the
: dynamics, size and structure of neural systems rather than on the exact
: morphology of individual neurons. The development of NEST is coordinated by the
: NEST Initiative. NEST is ideal for networks of spiking neurons of any size,
: for example: Models of information processing e.g. in the visual or auditory
: cortex of mammals; Models of network activity dynamics, e.g. laminar cortical
: networks or balanced random networks; Models of learning and plasticity.
: Please read the README-Fedora.md file provided in each package for information
: on how these NEST packages are to be used.
:
: Please see https://nest-simulator.readthedocs.io/ for the latest documentation.
Available Packages
Name : nest-doc
Version : 3.6
Release : 8.fc38
Architecture : noarch
Size : 5.6 M
Source : nest-3.6-8.fc38.src.rpm
Repository : updates
Summary : Documentation for nest
URL : http://www.nest-simulator.org/
License : GPL-2.0-or-later and MIT and LGPL-2.1-or-later
Description : NEST is a simulator for spiking neural network models that focuses on the
: dynamics, size and structure of neural systems rather than on the exact
: morphology of individual neurons. The development of NEST is coordinated by the
: NEST Initiative. NEST is ideal for networks of spiking neurons of any size,
: for example: Models of information processing e.g. in the visual or auditory
: cortex of mammals; Models of network activity dynamics, e.g. laminar cortical
: networks or balanced random networks; Models of learning and plasticity.
: Please read the README-Fedora.md file provided in each package for information
: on how these NEST packages are to be used.
:
: Please see https://nest-simulator.readthedocs.io/ for the latest documentation.