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

Last updated: May 19,2024

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

This guide let you learn how to install python3-h5py-serial-dbg on Ubuntu 21.10 (Impish Indri)

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

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

Please follow the step by step instructions below to uninstall python3-h5py-serial-dbg on Ubuntu 21.10 (Impish Indri):

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

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

Package: python3-h5py-serial-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: 21294
Depends: python3-dbg (<< 3.10), python3-dbg (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libc6 (>= 2.14), libhdf5-103-1, libhdf5-hl-100, liblzf1 (>= 1.5), python3-h5py-serial (= 2.10.0-9build2), python3-numpy-dbg
Filename: pool/universe/h/h5py/python3-h5py-serial-dbg_2.10.0-9build2_amd64.deb
Size: 6744112
MD5sum: e2ceb91ea0ad26a1cc3d6beb248e1fcf
SHA1: 4d58deccfdbbc171460dd3e2b69fbd3a19052db5
SHA256: 9e15d141e5ff9f0ad7f602e11508225c0b6d889c1a139f8ade3462d5209d6bc5
SHA512: bdddfc839c64868fa0d023cb1b7ab1565e6bb736d116597dea7b67c226948bb0ede7cca059b3e80ff542406dc864748767ee50028502817244ad75963c06ef30
Homepage: https://www.h5py.org/
Description-en: debug extensions for h5py (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 debug extensions for Python 3, built for
serial (single processor) jobs.
Description-md5: 8b41766e9a0865e6e78235984d1967ca
Build-Ids: 04ee9242f93bb3969b06f9b2d29be79cedefe3b5 1c6c488105d67fc762c5b020a2bdf1589bc8fa48 26bfb7a925ddc9f3bf57fe8722eb3bd7812d230d 2a22273031daed7e921e47c115fd5ef42e0ca061 341e877015c3190b87fdc52eb6c19564c733ebc3 37c068fa2db9a06fa53a250d750855adc76680f2 393bd2d4e72c2f47f4a414b0d0f13d4a3576f773 3b900c770dfcf9959af415a6e4c9886164619c12 496ad7c8532a3637926896987dd44c5fc8d9e09b 58b7041bc8ad94a70e75cd943ed05130c7aa5ae6 64ba56a42aaf09e64c08fcbba66b1a360058cf1f 650cf5da303193331531541fbad7d355f7a352f3 6f766f82157711f15dcfa46535c279331602c692 7138296d3d2839caf1089bb6ce89e6e0402f791a 9598d09e7b62f24ae6f7acfc7e0316812bfef89f 9cfe569f1a6ea6f90eb5f44cd73f510f3f75f38b aa9170c5c0f0ed20b736d1303be65e8292618a01 ad822f6a8e85566486ef5601dd71b69bb5d9d3c6 afb19ce421dd5f6be22fed46af48c6b92785cabe b860ca2540a78063dce7d88cc7b6333f6fa2aa4d c30a20cbcaabbefe5de0ae28205973d8f320328d ccb99c916ddcc2c2ba9353df98e476ca64cd05f6 ff56ce9535e457f79d558a3a21651f930b1b1b9d

5. The same packages on other Linux Distributions