h5py 3.9.0-4build1 source package in Ubuntu
Changelog
h5py (3.9.0-4build1) noble; urgency=medium * No-change rebuild to build with python3.12 as supported. -- Matthias Klose <email address hidden> Thu, 02 Nov 2023 10:20:45 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Noble
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
h5py_3.9.0.orig.tar.gz | 393.4 KiB | e604db6521c1e367c6bd7fad239c847f53cc46646f2d2651372d05ae5e95f817 |
h5py_3.9.0-4build1.debian.tar.xz | 21.0 KiB | 2dc040b4d14c733b9849c2a769d9e08d925138c593547fe1f11f09a5ef9a8cec |
h5py_3.9.0-4build1.dsc | 2.9 KiB | 3e7619b8cbbe54f524a2f41b1f8875a44fb30430524f19ed9ce9ae8062d7ad95 |
Available diffs
- diff from 3.9.0-4 (in Debian) to 3.9.0-4build1 (305 bytes)
Binary packages built by this source
- hdf5-plugin-lzf: hdf5 plugin to lzf compression library
HDF5 (Hierarchical Data Format library, version 5) is a versatile,
mature scientific software library designed for the fast, flexible
storage of enormous amounts of data.
.
This package provides a plugin to the HDF5 LZF filter for the LZF
compression library. Plugins are built for both serial (single
processor) jobs (libhdf5-dev) and for multiprocessor (threaded) jobs
(libhdf5-mpi-dev).
- hdf5-plugin-lzf-dbgsym: debug symbols for hdf5-plugin-lzf
- python-h5py-doc: documentation for h5py
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 documentation.
- python3-h5py: general-purpose Python interface to hdf5
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 simple dependency package which depends on the serial or
MPI build of h5py and provides test data files.
- python3-h5py-mpi: 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.
- python3-h5py-mpi-dbgsym: debug symbols for python3-h5py-mpi
- python3-h5py-serial: 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.
- python3-h5py-serial-dbgsym: debug symbols for python3-h5py-serial