How to Install and Uninstall python3-pyunicorn.x86_64 Package on Fedora 34
Last updated: November 29,2024
1. Install "python3-pyunicorn.x86_64" package
This tutorial shows how to install python3-pyunicorn.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
python3-pyunicorn.x86_64
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2. Uninstall "python3-pyunicorn.x86_64" package
Please follow the step by step instructions below to uninstall python3-pyunicorn.x86_64 on Fedora 34:
$
sudo dnf remove
python3-pyunicorn.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-pyunicorn.x86_64 package on Fedora 34
Last metadata expiration check: 5:01:46 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : python3-pyunicorn
Version : 0.6.1
Release : 8.fc34
Architecture : x86_64
Size : 496 k
Source : python-pyunicorn-0.6.1-8.fc34.src.rpm
Repository : updates
Summary : Unified complex network and recurrence analysis toolbox
URL : http://www.pik-potsdam.de/~donges/pyunicorn/
License : BSD and LGPLv2+
Description : pyunicorn (Unified Complex Network and RecurreNce analysis toolbox)
: is a fully object-oriented Python package for the advanced
: analysis and modeling of complex networks. Above the standard measures
: of complex network theory such as degree, betweenness and clustering
: coefficient it provides some uncommon but interesting statistics like
: Newman's random walk betweenness. pyunicorn features novel node-weighted
: (node splitting invariant) network statistics as well as measures
: designed for analyzing networks of interacting/interdependent networks.
Available Packages
Name : python3-pyunicorn
Version : 0.6.1
Release : 8.fc34
Architecture : x86_64
Size : 496 k
Source : python-pyunicorn-0.6.1-8.fc34.src.rpm
Repository : updates
Summary : Unified complex network and recurrence analysis toolbox
URL : http://www.pik-potsdam.de/~donges/pyunicorn/
License : BSD and LGPLv2+
Description : pyunicorn (Unified Complex Network and RecurreNce analysis toolbox)
: is a fully object-oriented Python package for the advanced
: analysis and modeling of complex networks. Above the standard measures
: of complex network theory such as degree, betweenness and clustering
: coefficient it provides some uncommon but interesting statistics like
: Newman's random walk betweenness. pyunicorn features novel node-weighted
: (node splitting invariant) network statistics as well as measures
: designed for analyzing networks of interacting/interdependent networks.