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

Last updated: November 26,2024

1. Install "python3-h5py-serial" package

This is a short guide on how to install python3-h5py-serial on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-h5py-serial
            
                    
    
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2. Uninstall "python3-h5py-serial" package

This guide covers the steps necessary to uninstall python3-h5py-serial on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-h5py-serial
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-h5py-serial package on Kali Linux

Package: python3-h5py-serial
Source: h5py
Version: 3.10.0-1
Installed-Size: 7314
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any, libc6 (>= 2.14), libhdf5-103-1, libhdf5-hl-100, liblzf1 (>= 1.5)
Recommends: python3-h5py
Suggests: python-h5py-doc
Conflicts: python3-h5py (<< 2.10.0-3~)
Size: 1398552
SHA256: acc14144bee0477acf9b86c0e76c7ce8a051e16bec855edfabff53961434367a
SHA1: db778d13e327a135742e55ec24048e96c63156a5
MD5sum: c7821fc7820a6226c65f4621eafd4dc7
Description: general-purpose Python interface to hdf5 (Python 3 serial)
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 for serial
(single processor) jobs.
Description-md5:
Homepage: https://www.h5py.org/
Section: python
Priority: optional
Filename: pool/main/h/h5py/python3-h5py-serial_3.10.0-1_amd64.deb