How to Install and Uninstall python-h5py-doc Package on Kali Linux

Last updated: November 22,2024

1. Install "python-h5py-doc" package

Please follow the guidance below to install python-h5py-doc on Kali Linux


    
        
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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 tutorial shows how to uninstall python-h5py-doc on Kali Linux:


    
        
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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 Kali Linux

Package: python-h5py-doc
Source: h5py
Version: 3.10.0-1
Installed-Size: 2277
Maintainer: Debian Science Maintainers
Architecture: all
Depends: libjs-sphinxdoc (>= 7.2.2), libjs-mathjax
Size: 248624
SHA256: 00710bcca7c5e4a39e7b9a17506eb20a9f59206d0e3b3820ad1dabba9b3e76ac
SHA1: ea82d017a7d3500e0dffb77a6b9b8f81374ad250
MD5sum: 22ec09f4978fd8a34a416b4b90d05ce5
Description: 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:
Multi-Arch: foreign
Homepage: https://www.h5py.org/
Built-Using: sphinx (= 7.2.6-3)
Section: doc
Priority: optional
Filename: pool/main/h/h5py/python-h5py-doc_3.10.0-1_all.deb