How to Install and Uninstall python3-graph-tool.x86_64 Package on Fedora 39
Last updated: January 11,2025
1. Install "python3-graph-tool.x86_64" package
This guide let you learn how to install python3-graph-tool.x86_64 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
python3-graph-tool.x86_64
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2. Uninstall "python3-graph-tool.x86_64" package
Please follow the instructions below to uninstall python3-graph-tool.x86_64 on Fedora 39:
$
sudo dnf remove
python3-graph-tool.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-graph-tool.x86_64 package on Fedora 39
Last metadata expiration check: 4:45:23 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : python3-graph-tool
Version : 2.59
Release : 1.fc39
Architecture : x86_64
Size : 55 M
Source : python-graph-tool-2.59-1.fc39.src.rpm
Repository : updates
Summary : Efficient network analysis tool written in Python
URL : https://graph-tool.skewed.de/
License : LGPL-3.0-or-later AND BSL-1.0 AND BSD-3-Clause AND GPL-3.0-or-later AND MIT AND (MIT OR Apache-2.0)
Description : Graph-tool is an efficient Python module for manipulation and statistical
: analysis of graphs (a.k.a. networks). Contrary to most other python modules
: with similar functionality, the core data structures and algorithms are
: implemented in C++, making extensive use of template metaprogramming, based
: heavily on the Boost Graph Library. This confers it a level of performance that
: is comparable (both in memory usage and computation time) to that of a pure
: C/C++ library.
:
: Please refer to https://graph-tool.skewed.de/static/doc/index.html for
: documentation.
Available Packages
Name : python3-graph-tool
Version : 2.59
Release : 1.fc39
Architecture : x86_64
Size : 55 M
Source : python-graph-tool-2.59-1.fc39.src.rpm
Repository : updates
Summary : Efficient network analysis tool written in Python
URL : https://graph-tool.skewed.de/
License : LGPL-3.0-or-later AND BSL-1.0 AND BSD-3-Clause AND GPL-3.0-or-later AND MIT AND (MIT OR Apache-2.0)
Description : Graph-tool is an efficient Python module for manipulation and statistical
: analysis of graphs (a.k.a. networks). Contrary to most other python modules
: with similar functionality, the core data structures and algorithms are
: implemented in C++, making extensive use of template metaprogramming, based
: heavily on the Boost Graph Library. This confers it a level of performance that
: is comparable (both in memory usage and computation time) to that of a pure
: C/C++ library.
:
: Please refer to https://graph-tool.skewed.de/static/doc/index.html for
: documentation.