How to Install and Uninstall python3-shapely.x86_64 Package on Rocky Linux 8
Last updated: November 14,2024
1. Install "python3-shapely.x86_64" package
Please follow the instructions below to install python3-shapely.x86_64 on Rocky Linux 8
$
sudo dnf update
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$
sudo dnf install
python3-shapely.x86_64
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2. Uninstall "python3-shapely.x86_64" package
In this section, we are going to explain the necessary steps to uninstall python3-shapely.x86_64 on Rocky Linux 8:
$
sudo dnf remove
python3-shapely.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-shapely.x86_64 package on Rocky Linux 8
Last metadata expiration check: 2:24:46 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : python3-shapely
Version : 1.7.1
Release : 9.el8
Architecture : x86_64
Size : 264 k
Source : python-shapely-1.7.1-9.el8.src.rpm
Repository : epel
Summary : Manipulation and analysis of geometric objects in the Cartesian plane
URL : https://github.com/Toblerity/Shapely
License : BSD
Description : Shapely is a package for creation, manipulation, and analysis of planar
: geometry objects – designed especially for developers of cutting edge
: geographic information systems. In a nutshell: Shapely lets you do PostGIS-ish
: stuff outside the context of a database using idiomatic Python.
:
: You can use this package with python-matplotlib and numpy. See README.rst for
: more information!
Available Packages
Name : python3-shapely
Version : 1.7.1
Release : 9.el8
Architecture : x86_64
Size : 264 k
Source : python-shapely-1.7.1-9.el8.src.rpm
Repository : epel
Summary : Manipulation and analysis of geometric objects in the Cartesian plane
URL : https://github.com/Toblerity/Shapely
License : BSD
Description : Shapely is a package for creation, manipulation, and analysis of planar
: geometry objects – designed especially for developers of cutting edge
: geographic information systems. In a nutshell: Shapely lets you do PostGIS-ish
: stuff outside the context of a database using idiomatic Python.
:
: You can use this package with python-matplotlib and numpy. See README.rst for
: more information!