How to Install and Uninstall python-shapely-doc.noarch Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: November 29,2024
1. Install "python-shapely-doc.noarch" package
Please follow the instructions below to install python-shapely-doc.noarch on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
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$
sudo dnf install
python-shapely-doc.noarch
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2. Uninstall "python-shapely-doc.noarch" package
Please follow the guidance below to uninstall python-shapely-doc.noarch on Red Hat Enterprise Linux 8 (RHEL 8):
$
sudo dnf remove
python-shapely-doc.noarch
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$
sudo dnf autoremove
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3. Information about the python-shapely-doc.noarch package on Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 0:21:18 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : python-shapely-doc
Version : 1.7.1
Release : 9.el8
Architecture : noarch
Size : 408 k
Source : python-shapely-1.7.1-9.el8.src.rpm
Repository : epel
Summary : Documentation for python-shapely
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 : python-shapely-doc
Version : 1.7.1
Release : 9.el8
Architecture : noarch
Size : 408 k
Source : python-shapely-1.7.1-9.el8.src.rpm
Repository : epel
Summary : Documentation for python-shapely
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!