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

Last updated: May 20,2024

1. Install "python3-h5py-mpi" package

Learn how to install python3-h5py-mpi on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-h5py-mpi
            
                    
    
    Copied

2. Uninstall "python3-h5py-mpi" package

Please follow the steps below to uninstall python3-h5py-mpi on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-h5py-mpi
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python3-h5py-mpi
Source: h5py
Version: 3.10.0-1
Installed-Size: 7332
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-mpi4py (>= 3.1.4), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any, libc6 (>= 2.14), libhdf5-openmpi-103-1 (>= 1.10.10), libhdf5-openmpi-hl-100 (>= 1.8.13), liblzf1 (>= 1.5), libopenmpi3 (>= 4.1.6)
Recommends: python3-h5py
Suggests: python-h5py-doc
Size: 1405188
SHA256: 2292f10a10a85d58c20c46475b5f99e610fda18af3d23e418f3a0e941314fd89
SHA1: d6160052e29ea66e4eaa88c8457bbc87bad625d4
MD5sum: 5a33c8e0f6d5cd313477a1adc291a32a
Description: general-purpose Python interface to hdf5 (Python 3 MPI)
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 modules for Python 3, built with support
for MPI (multiprocessor) jobs.
Description-md5:
Homepage: https://www.h5py.org/
Section: python
Priority: optional
Filename: pool/main/h/h5py/python3-h5py-mpi_3.10.0-1_amd64.deb