How to Install and Uninstall python3-h5py-openmpi.x86_64 Package on CentOS Stream 9
Last updated: November 15,2024
1. Install "python3-h5py-openmpi.x86_64" package
Please follow the step by step instructions below to install python3-h5py-openmpi.x86_64 on CentOS Stream 9
$
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
In this section, we are going to explain the necessary steps to uninstall python3-h5py-openmpi.x86_64 on CentOS Stream 9:
$
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 CentOS Stream 9
Last metadata expiration check: 1:56:56 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : python3-h5py-openmpi
Version : 3.7.0
Release : 2.el9
Architecture : x86_64
Size : 899 k
Source : h5py-3.7.0-2.el9.src.rpm
Repository : epel
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 : 3.7.0
Release : 2.el9
Architecture : x86_64
Size : 899 k
Source : h5py-3.7.0-2.el9.src.rpm
Repository : epel
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.