How to Install and Uninstall python3-h5py-openmpi.x86_64 Package on Fedora 35
Last updated: January 16,2025
1. Install "python3-h5py-openmpi.x86_64" package
In this section, we are going to explain the necessary steps to install python3-h5py-openmpi.x86_64 on Fedora 35
$
sudo dnf update
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$
sudo dnf install
python3-h5py-openmpi.x86_64
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2. Uninstall "python3-h5py-openmpi.x86_64" package
This guide covers the steps necessary to uninstall python3-h5py-openmpi.x86_64 on Fedora 35:
$
sudo dnf remove
python3-h5py-openmpi.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-h5py-openmpi.x86_64 package on Fedora 35
Last metadata expiration check: 0:50:34 ago on Wed Sep 7 14:25:02 2022.
Available Packages
Name : python3-h5py-openmpi
Version : 3.4.0
Release : 2.fc35
Architecture : x86_64
Size : 880 k
Source : h5py-3.4.0-2.fc35.src.rpm
Repository : updates
Summary : A Python interface to the HDF5 library using OpenMPI
URL : http://www.h5py.org/
License : BSD
Description : The h5py package provides both a high- and low-level interface to the
: HDF5 library from Python. The low-level interface is intended to be a
: complete wrapping of the HDF5 API, while the high-level component
: supports access to HDF5 files, data sets and groups using established
: Python and NumPy concepts.
:
: A strong emphasis on automatic conversion between Python (Numpy)
: data types and data structures and their HDF5 equivalents vastly
: simplifies the process of reading and writing data from Python.
Available Packages
Name : python3-h5py-openmpi
Version : 3.4.0
Release : 2.fc35
Architecture : x86_64
Size : 880 k
Source : h5py-3.4.0-2.fc35.src.rpm
Repository : updates
Summary : A Python interface to the HDF5 library using OpenMPI
URL : http://www.h5py.org/
License : BSD
Description : The h5py package provides both a high- and low-level interface to the
: HDF5 library from Python. The low-level interface is intended to be a
: complete wrapping of the HDF5 API, while the high-level component
: supports access to HDF5 files, data sets and groups using established
: Python and NumPy concepts.
:
: A strong emphasis on automatic conversion between Python (Numpy)
: data types and data structures and their HDF5 equivalents vastly
: simplifies the process of reading and writing data from Python.