How to Install and Uninstall python3-h5py Package on Kali Linux

Last updated: November 07,2024

1. Install "python3-h5py" package

This guide covers the steps necessary to install python3-h5py on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-h5py
            
                    
    
    Copied

2. Uninstall "python3-h5py" package

Please follow the step by step instructions below to uninstall python3-h5py on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-h5py
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-h5py package on Kali Linux

Package: python3-h5py
Source: h5py
Version: 3.10.0-1
Installed-Size: 36
Maintainer: Debian Science Maintainers
Architecture: all
Replaces: python3-h5py-serial (<< 3.10.0-1~)
Depends: python3-h5py-serial | python3-h5py-mpi, python3-numpy (>= 1.19.3), python3:any
Suggests: python-h5py-doc
Breaks: python3-h5py-serial (<< 3.10.0-1~)
Size: 14436
SHA256: 0909e9db4eb1cbe46820c69a11b78b262d9b71b66b5b17f589fe4fdda115df9d
SHA1: 6ba88441fa9462f4ce68d474ac4ae075bfa8dbf0
MD5sum: c097d3fd7a82b9a281a64d355d9315ef
Description: 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 simple dependency package which depends on the serial or
MPI build of h5py and provides test data files.
Description-md5:
Homepage: https://www.h5py.org/
Section: python
Priority: optional
Filename: pool/main/h/h5py/python3-h5py_3.10.0-1_all.deb