How to Install and Uninstall python312-h5py-openmpi4 Package on openSuSE Tumbleweed
Last updated: November 08,2024
1. Install "python312-h5py-openmpi4" package
Please follow the step by step instructions below to install python312-h5py-openmpi4 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python312-h5py-openmpi4
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2. Uninstall "python312-h5py-openmpi4" package
This guide covers the steps necessary to uninstall python312-h5py-openmpi4 on openSuSE Tumbleweed:
$
sudo zypper remove
python312-h5py-openmpi4
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3. Information about the python312-h5py-openmpi4 package on openSuSE Tumbleweed
Information for package python312-h5py-openmpi4:
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-h5py-openmpi4
Version : 3.10.0-1.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 4.0 MiB
Installed : No
Status : not installed
Source package : python-h5py-openmpi4-3.10.0-1.2.src
Upstream URL : https://github.com/h5py/h5py
Summary : Python interface to the Hierarchical Data Format library
Description :
H5py provides a simple, robust read/write interface to HDF5 data from Python.
Existing Python and Numpy concepts are used for the interface; for example,
datasets on disk are represented by a proxy class that supports slicing, and
has dtype and shape attributes. HDF5 groups are presented using a dictionary
metaphor, indexed by name.
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-h5py-openmpi4
Version : 3.10.0-1.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 4.0 MiB
Installed : No
Status : not installed
Source package : python-h5py-openmpi4-3.10.0-1.2.src
Upstream URL : https://github.com/h5py/h5py
Summary : Python interface to the Hierarchical Data Format library
Description :
H5py provides a simple, robust read/write interface to HDF5 data from Python.
Existing Python and Numpy concepts are used for the interface; for example,
datasets on disk are represented by a proxy class that supports slicing, and
has dtype and shape attributes. HDF5 groups are presented using a dictionary
metaphor, indexed by name.