How to Install and Uninstall python-h5py-doc Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 08,2024

1. Install "python-h5py-doc" package

Please follow the instructions below to install python-h5py-doc on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-h5py-doc
            
                    
    
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2. Uninstall "python-h5py-doc" package

Please follow the steps below to uninstall python-h5py-doc on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-h5py-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-h5py-doc package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-h5py-doc
Priority: optional
Section: universe/doc
Installed-Size: 719
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: all
Source: h5py
Version: 2.6.0-1
Depends: libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/h/h5py/python-h5py-doc_2.6.0-1_all.deb
Size: 102910
MD5sum: 72ca039a2f3fd36b696b099cd2b7e1b9
SHA1: 30819439e967584360a405fdb96b73d21e44ceac
SHA256: ce97d5595b5bc05a7f0a0ab2028d4c8a84292a56e01bb5cba5e882d677cec19d
Description-en: h5py documentation
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 package provides the documentation for h5py.
Description-md5: c30506efe9d21a1c5d40e965766ec403
Homepage: http://www.h5py.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu