How to Install and Uninstall hdf5.x86_64 Package on Fedora 35
Last updated: October 09,2024
1. Install "hdf5.x86_64" package
Please follow the guidance below to install hdf5.x86_64 on Fedora 35
$
sudo dnf update
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$
sudo dnf install
hdf5.x86_64
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2. Uninstall "hdf5.x86_64" package
Please follow the guidelines below to uninstall hdf5.x86_64 on Fedora 35:
$
sudo dnf remove
hdf5.x86_64
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$
sudo dnf autoremove
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3. Information about the hdf5.x86_64 package on Fedora 35
Last metadata expiration check: 3:07:20 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : hdf5
Version : 1.10.7
Release : 2.fc35
Architecture : x86_64
Size : 2.0 M
Source : hdf5-1.10.7-2.fc35.src.rpm
Repository : fedora
Summary : A general purpose library and file format for storing scientific data
URL : https://portal.hdfgroup.org/display/HDF5/HDF5
License : BSD
Description : HDF5 is a general purpose library and file format for storing scientific data.
: HDF5 can store two primary objects: datasets and groups. A dataset is
: essentially a multidimensional array of data elements, and a group is a
: structure for organizing objects in an HDF5 file. Using these two basic
: objects, one can create and store almost any kind of scientific data
: structure, such as images, arrays of vectors, and structured and unstructured
: grids. You can also mix and match them in HDF5 files according to your needs.
Available Packages
Name : hdf5
Version : 1.10.7
Release : 2.fc35
Architecture : x86_64
Size : 2.0 M
Source : hdf5-1.10.7-2.fc35.src.rpm
Repository : fedora
Summary : A general purpose library and file format for storing scientific data
URL : https://portal.hdfgroup.org/display/HDF5/HDF5
License : BSD
Description : HDF5 is a general purpose library and file format for storing scientific data.
: HDF5 can store two primary objects: datasets and groups. A dataset is
: essentially a multidimensional array of data elements, and a group is a
: structure for organizing objects in an HDF5 file. Using these two basic
: objects, one can create and store almost any kind of scientific data
: structure, such as images, arrays of vectors, and structured and unstructured
: grids. You can also mix and match them in HDF5 files according to your needs.