How to Install and Uninstall python3-h5py Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 17,2024

1. Install "python3-h5py" package

Please follow the instructions below to install python3-h5py on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-h5py
            
                    
    
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2. Uninstall "python3-h5py" package

This guide covers the steps necessary to uninstall python3-h5py on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-h5py
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-h5py package on Ubuntu 21.10 (Impish Indri)

Package: python3-h5py
Architecture: all
Version: 2.10.0-9build2
Priority: optional
Section: universe/python
Source: h5py
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 23
Depends: python3-h5py-serial | python3-h5py-mpi
Suggests: python-h5py-doc
Filename: pool/universe/h/h5py/python3-h5py_2.10.0-9build2_all.deb
Size: 4828
MD5sum: ae008cb7e23501a75eaae0a585162e5a
SHA1: 0ed1b46ca202ddb191e3e9c8deb5508c0da03a01
SHA256: f6acd3d62734da69bc160ac80e868ba3b6f5378f3bce0bf81c1c5ea3d29d0999
SHA512: ccab1102e89fcc73ee27090cd1dc643f3afad53a8aedd91f07b784ea158e0c90eb0796bd75646486d69c9d54c01742405d9dd8f62436ae8ef48d3e4bc05c1735
Homepage: https://www.h5py.org/
Description-en: general-purpose Python interface to hdf5
HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5. HDF5 is a versatile, mature
scientific software library designed for the fast, flexible storage of
enormous amounts of data.
.
From a Python programmer's perspective, HDF5 provides a robust way to
store data, organized by name in a tree-like fashion. You can create
datasets (arrays on disk) hundreds of gigabytes in size, and perform
random-access I/O on desired sections. Datasets are organized in a
filesystem-like hierarchy using containers called "groups", and accessed
using the tradional POSIX /path/to/resource syntax.
.
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.
.
This is a dummy package which depends on the serial or MPI build of h5py.
Description-md5: 45a4fe084413e8b1bdeea983c08b23ef