h5py 2.6.0-1 source package in Ubuntu
Changelog
h5py (2.6.0-1) unstable; urgency=medium
* New upstream release.
* d/gbp.conf: no patch numbering.
* Update patch queue:
- Drop 0002-prevent-cython-dep.patch, no longer required.
- Drop drop-mpiposix.patch, unused.
- Refresh Disable-usage-of-rpath.patch.
* Update build dependencies:
- Raise versioned depends on cython to 0.19.
- Drop versioned depends on numpy and sphinx.
* Update copyright:
- add myself to the copyright holders of the debian files.
- add missing copyright information for vendored files.
- cme fix, wrap and sort.
* Add patch disabling broken tests acknowledged upstream.
Thanks to Gilles Filippini. (Closes: #797476)
-- Ghislain Antony Vaillant <email address hidden> Tue, 02 Feb 2016 16:11:06 +0000
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 | |
|---|---|---|---|---|
| Xenial | release | universe | python |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| h5py_2.6.0-1.dsc | 2.5 KiB | ce1bbcf979e4ca94cac234effb430351ce31d3e1d707bf9c134807a1438286ad |
| h5py_2.6.0.orig.tar.gz | 240.7 KiB | 7fec1d6f19418b3a624bbb90c7baa105952c0bb6cfbb6676f436fac44fc6ccfb |
| h5py_2.6.0-1.debian.tar.xz | 6.1 KiB | 282875e8a73039ad1f0bc3b6a42c30cb4ddec1f8456901f4ccc8f9cbadddafa0 |
Available diffs
- diff from 2.5.0-1build3 (in Ubuntu) to 2.6.0-1 (39.2 KiB)
- diff from 2.5.0-3 to 2.6.0-1 (37.2 KiB)
No changes file available.
Binary packages built by this source
- python-h5py: general-purpose Python interface to hdf5 (Python 2)
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 h5py for the Python 2 interpreter.
- python-h5py-dbg: No summary available for python-h5py-dbg in ubuntu zesty.
No description available for python-h5py-dbg in ubuntu zesty.
- python-h5py-doc: h5py documentation
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 for h5py.
- python3-h5py: general-purpose Python interface to hdf5 (Python 3)
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 h5py for the Python 3 interpreter.
- python3-h5py-dbg: No summary available for python3-h5py-dbg in ubuntu zesty.
No description available for python3-h5py-dbg in ubuntu zesty.
