How to Install and Uninstall python3-h5py-mpi Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 21,2024
1. Install "python3-h5py-mpi" package
This is a short guide on how to install python3-h5py-mpi on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
Copied
$
sudo apt install
python3-h5py-mpi
Copied
2. Uninstall "python3-h5py-mpi" package
This guide let you learn how to uninstall python3-h5py-mpi on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-h5py-mpi
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the python3-h5py-mpi package on Ubuntu 21.10 (Impish Indri)
Package: python3-h5py-mpi
Architecture: amd64
Version: 2.10.0-9build2
Priority: optional
Section: universe/python
Source: h5py
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3120
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-six, python3:any, libc6 (>= 2.14), libhdf5-openmpi-103-1 (>= 1.10.5), libhdf5-openmpi-hl-100 (>= 1.10.2), liblzf1 (>= 1.5), python3-h5py-serial, python3-mpi4py
Suggests: python-h5py-doc
Filename: pool/universe/h/h5py/python3-h5py-mpi_2.10.0-9build2_amd64.deb
Size: 652212
MD5sum: dab82eaa3ee6c04ba9be4e5a94ad140e
SHA1: 83bb42775040845089a003080b6a44174f35799c
SHA256: fb2700d17902a02f36f4bdb4a4ae42a9e8427659ce8b6a9f5bb3be2b5d901d17
SHA512: 98c3132c682184090b9347eed07bf806da07e613a21e1a330472ce1754725dac45d48f845f97a943fc4a7cfe9e33d7c431cbec7f955d55d28b40ee2cd9721864
Homepage: https://www.h5py.org/
Description-en: 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: 584c350250e98bc9ad355fb3a21312a9
Architecture: amd64
Version: 2.10.0-9build2
Priority: optional
Section: universe/python
Source: h5py
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3120
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3-six, python3:any, libc6 (>= 2.14), libhdf5-openmpi-103-1 (>= 1.10.5), libhdf5-openmpi-hl-100 (>= 1.10.2), liblzf1 (>= 1.5), python3-h5py-serial, python3-mpi4py
Suggests: python-h5py-doc
Filename: pool/universe/h/h5py/python3-h5py-mpi_2.10.0-9build2_amd64.deb
Size: 652212
MD5sum: dab82eaa3ee6c04ba9be4e5a94ad140e
SHA1: 83bb42775040845089a003080b6a44174f35799c
SHA256: fb2700d17902a02f36f4bdb4a4ae42a9e8427659ce8b6a9f5bb3be2b5d901d17
SHA512: 98c3132c682184090b9347eed07bf806da07e613a21e1a330472ce1754725dac45d48f845f97a943fc4a7cfe9e33d7c431cbec7f955d55d28b40ee2cd9721864
Homepage: https://www.h5py.org/
Description-en: 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: 584c350250e98bc9ad355fb3a21312a9