How to Install and Uninstall python39-h5py-openmpi3 Package on openSuSE Tumbleweed
Last updated: November 26,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python39-h5py-openmpi3" package
Please follow the step by step instructions below to install python39-h5py-openmpi3 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-h5py-openmpi3
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2. Uninstall "python39-h5py-openmpi3" package
Please follow the instructions below to uninstall python39-h5py-openmpi3 on openSuSE Tumbleweed:
$
sudo zypper remove
python39-h5py-openmpi3
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3. Information about the python39-h5py-openmpi3 package on openSuSE Tumbleweed
Information for package python39-h5py-openmpi3:
-----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-h5py-openmpi3
Version : 3.4.0-1.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 4,6 MiB
Installed : No
Status : not installed
Source package : python-h5py-openmpi3-3.4.0-1.2.src
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 : python39-h5py-openmpi3
Version : 3.4.0-1.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 4,6 MiB
Installed : No
Status : not installed
Source package : python-h5py-openmpi3-3.4.0-1.2.src
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.