How to Install and Uninstall python3-h5py-dbg Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 19,2024

1. Install "python3-h5py-dbg" package

This guide covers the steps necessary to install python3-h5py-dbg on Ubuntu 21.10 (Impish Indri)


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

In this section, we are going to explain the necessary steps to uninstall python3-h5py-dbg on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-h5py-dbg
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-h5py-dbg package on Ubuntu 21.10 (Impish Indri)

Package: python3-h5py-dbg
Architecture: all
Version: 2.10.0-9build2
Priority: extra
Section: universe/debug
Source: h5py
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 18
Depends: python3-h5py-serial-dbg | python3-h5py-mpi-dbg
Suggests: python-h5py-doc
Filename: pool/universe/h/h5py/python3-h5py-dbg_2.10.0-9build2_all.deb
Size: 2972
MD5sum: d824c02de6763a5fa37df8860a41d8de
SHA1: 9520bd77d98401f23ebfdc9e7940af31ddfe40b0
SHA256: 84b936bc70860f769fc7e13d85b9f82c7b18284561cb9724ea00f28ec5e6cb9e
SHA512: ad78bd66b35b957cf1ab978103b96034717359566b1ec8f2e9f7ecc55711e4737cc9dd9a0c06628d2b035f2d4826fa3576decfba05f42f6618622a0b16216d68
Homepage: https://www.h5py.org/
Description-en: debug extensions for h5py (Python 3)
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 dummy package which depends on the serial or MPI build of h5py
with debug extensions.
Description-md5: c66d0361752ce203fa0e55d5b147fde9