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

Last updated: November 21,2024

1. Install "python3-h5py-mpi-dbg" package

This tutorial shows how to install python3-h5py-mpi-dbg on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install python3-h5py-mpi-dbg

2. Uninstall "python3-h5py-mpi-dbg" package

This guide let you learn how to uninstall python3-h5py-mpi-dbg on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove python3-h5py-mpi-dbg $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-h5py-mpi-dbg package on Ubuntu 21.10 (Impish Indri)

Package: python3-h5py-mpi-dbg
Architecture: amd64
Version: 2.10.0-9build2
Multi-Arch: same
Priority: optional
Section: universe/debug
Source: h5py
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 21429
Depends: python3-dbg (<< 3.10), python3-dbg (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libc6 (>= 2.14), libhdf5-openmpi-103-1 (>= 1.10.5), libhdf5-openmpi-hl-100 (>= 1.10.2), liblzf1 (>= 1.5), python3-h5py-mpi (= 2.10.0-9build2), python3-h5py-serial-dbg (= 2.10.0-9build2), python3-mpi4py-dbg, python3-numpy-dbg
Filename: pool/universe/h/h5py/python3-h5py-mpi-dbg_2.10.0-9build2_amd64.deb
Size: 6793968
MD5sum: bd389d8018829846c84d18b6d103f0da
SHA1: 1fbb90596f2f273ce9446ea80f54af20eb63351a
SHA256: f0434e2641d71bd8067062f34590180aba4d97060e02a875e57333f7ea7ebb1a
SHA512: 028123f846ff94a1c6bbb28e1acc71a490ac2dd12991f4747353c62713e84a568a86d67de393879345ceea917f27f08476392ef482074749bf24fc59efd90080
Homepage: https://www.h5py.org/
Description-en: debug extensions for h5py (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 debug extensions for Python 3, built with
support for MPI (multiprocessor) jobs.
Description-md5: 4f781496ed73299e541ce2a111e975d5
Build-Ids: 0d8addc81d93345d65b58ce95cdf808f1d32059a 19f83b66335c49d0e2a1c81b224a50487d97c2aa 1f3a9264fbb5484524b8cba70f7649ec0d9548a5 319730c8aed9fbedb240647fb88e58ee430ee524 3ed6a76803628db042403748aa4dcea7eeb45847 54b34949a7bb2b49a3620db0b4afad80bb421dff 675de2b8edfa113ab4cf045ea59106829b1d1276 6d055e97c704eb464d4d5a34cafcd4ad3b37c402 6e69de181b4aeb3835e2e01ee196f8ce994edcad 71fa0b22c1a6c809298b00b59617884c82df6d42 94d7786209dc4639f9e4eddb340c1582fb8cce73 95f3994dcd03bb5cec75911fb489fdbf66fbeb1d a533e5f7ce04869e53012faaeae73d82024f781b b0579d28dc5c8e0dda0af66728202c0d41a32812 c84c73b54dd16e820fed96732ee05f218f571fe3 cc3033f4a4c57861d7e88c92546375c806314f4b d0b402f790713361763da9fe04308abefdcb5302 d61a543212127a381b87f507d8533464f666663b d7cffccf5d50c92529e8e6df13fc6bddc37b2627 d9354733077768ac21431ad6afa01ab97386a644 f2af3231715581903382499e00d75e1243d6686f fb102912c82ac8a00139492b7cc08c7dcc17f978 fe216ba907b6fe8bb7db86acc8157e51c2d720a0

5. The same packages on other Linux Distributions