h5py 3.7.0-2 source package in Ubuntu
Changelog
h5py (3.7.0-2) unstable; urgency=medium
* Team upload.
* debian patch doc_extlink_PR2112.patch applies upstream PR#2112 to
update handling of extlinks in sphinx docs. Closes: #1013400.
* debian/tests: use `py3versions -s` to run tests over all supported
python versions
-- Drew Parsons <email address hidden> Mon, 01 Aug 2022 15:28:22 +0200
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| h5py_3.7.0-2.dsc | 2.7 KiB | 0ee30119c7ab7118784b3f53f118cc2c95bcb2f26699d8b24df35d6b87554751 |
| h5py_3.7.0.orig.tar.gz | 383.2 KiB | 3fcf37884383c5da64846ab510190720027dca0768def34dd8dcb659dbe5cbf3 |
| h5py_3.7.0-2.debian.tar.xz | 18.7 KiB | 9fab49f2b59ea2ac40a54de51f7bd10727ad1c58dcc1af7026de6c4e4e3d32ea |
Available diffs
No changes file available.
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: No summary available for python3-h5py in ubuntu kinetic.
No description available for python3-h5py in ubuntu kinetic.
- python3-h5py-mpi: No summary available for python3-h5py-mpi in ubuntu kinetic.
No description available for python3-h5py-mpi in ubuntu kinetic.
- python3-h5py-mpi-dbgsym: No summary available for python3-h5py-mpi-dbgsym in ubuntu kinetic.
No description available for python3-
h5py-mpi- dbgsym in ubuntu kinetic.
- 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: No summary available for python3-h5py-serial-dbgsym in ubuntu kinetic.
No description available for python3-
h5py-serial- dbgsym in ubuntu kinetic.
