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

Last updated: December 29,2024

1. Install "python-h5py-doc" package

Please follow the guidance below to install python-h5py-doc on Ubuntu 21.10 (Impish Indri)


    
        
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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

This is a short guide on how to uninstall python-h5py-doc on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: python-h5py-doc
Architecture: all
Version: 2.10.0-9build2
Built-Using: sphinx (= 3.3.1-1)
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: h5py
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1569
Depends: libjs-sphinxdoc (>= 2.4.3-5~), libjs-mathjax
Filename: pool/universe/h/h5py/python-h5py-doc_2.10.0-9build2_all.deb
Size: 182716
MD5sum: 2b493d17c279e0769c89ecd4e8ced32f
SHA1: cdceb3d85d44aa6e1d1e50dd0e14d3c275988f16
SHA256: 1931b6c494a83f4064ab6870603ead3f85ee227641cb5a77a894c6e994d1b82d
SHA512: 201220ac7724f5827dc5e93d1601fe4b666393fd6eef9c96797c8596dd8073d36ec0801408780509fcc7e53ff4ac233d921954738fd4b74fff7a6f65d5b63546
Homepage: https://www.h5py.org/
Description-en: documentation for h5py
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.
Description-md5: 1662e5d2c9d77e3f74e46e64439c1344