h5py 2.2.1-1build1 source package in Ubuntu
Changelog
h5py (2.2.1-1build1) trusty; urgency=low * rebuild with cython 0.20 -- Julian Taylor <email address hidden> Mon, 27 Jan 2014 19:39:57 +0100
Upload details
- Uploaded by:
- Julian Taylor
- Uploaded to:
- Trusty
- Original maintainer:
- Soeren Sonnenburg
- Architectures:
- any
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
h5py_2.2.1.orig.tar.gz | 955.9 KiB | b4510cb74aef332847dc88e3df6910d7af68c709b3556fc960a687c56ba6a4cb |
h5py_2.2.1-1build1.debian.tar.gz | 3.9 KiB | 7be2f6b04484101a1f49c65eaa49c5dcb835f729c8d1433fc6534dbd73caaf36 |
h5py_2.2.1-1build1.dsc | 2.0 KiB | 966d7173fd69bbf2f161c8773bfb08226717b9d4871e347fb8d17d3992c1d03f |
Available diffs
- diff from 2.2.1-1 (in Debian) to 2.2.1-1build1 (310 bytes)
Binary packages built by this source
- python-h5py: h5py is a 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.
- python3-h5py: h5py is a 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.