How to Install and Uninstall python3-fiona.x86_64 Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: November 25,2024
1. Install "python3-fiona.x86_64" package
This is a short guide on how to install python3-fiona.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
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$
sudo dnf install
python3-fiona.x86_64
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2. Uninstall "python3-fiona.x86_64" package
Please follow the guidelines below to uninstall python3-fiona.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8):
$
sudo dnf remove
python3-fiona.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-fiona.x86_64 package on Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 1:12:59 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : python3-fiona
Version : 1.8.20
Release : 3.el8
Architecture : x86_64
Size : 600 k
Source : python-fiona-1.8.20-3.el8.src.rpm
Repository : epel
Summary : Fiona reads and writes spatial data files
URL : https://pypi.python.org/pypi/fiona
License : BSD
Description : Fiona is designed to be simple and dependable. It focuses on reading and
: writing data in standard Python IO style and relies upon familiar Python types
: and protocols such as files, dictionaries, mappings, and iterators instead of
: classes specific to OGR. Fiona can read and write real-world data using
: multi-layered GIS formats and zipped virtual file systems and integrates
: readily with other Python GIS packages such as pyproj, Rtree, and Shapely.
Available Packages
Name : python3-fiona
Version : 1.8.20
Release : 3.el8
Architecture : x86_64
Size : 600 k
Source : python-fiona-1.8.20-3.el8.src.rpm
Repository : epel
Summary : Fiona reads and writes spatial data files
URL : https://pypi.python.org/pypi/fiona
License : BSD
Description : Fiona is designed to be simple and dependable. It focuses on reading and
: writing data in standard Python IO style and relies upon familiar Python types
: and protocols such as files, dictionaries, mappings, and iterators instead of
: classes specific to OGR. Fiona can read and write real-world data using
: multi-layered GIS formats and zipped virtual file systems and integrates
: readily with other Python GIS packages such as pyproj, Rtree, and Shapely.