Ubuntu
h5py package

h5py 2.0.1-1 source package in Ubuntu

Changelog

h5py (2.0.1-1) unstable; urgency=low

  * New upstream version.
  * Remove h5py_config.pickle created on
    python setup.py clean (Closes: #643152)
 -- Ubuntu Archive Auto-Sync <email address hidden>   Sun,  23 Oct 2011 08:26:56 +0000

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Uploaded by:
Ubuntu Archive Auto-Sync
Uploaded to:
Precise
Original maintainer:
Soeren Sonnenburg
Architectures:
any
Section:
python
Urgency:
Low Urgency

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File Size SHA-256 Checksum
h5py_2.0.1.orig.tar.gz 823.8 KiB cc5242c8ede616af9d8781c6d06603ff5a1f0de3044877176cc31a00cc581c40
h5py_2.0.1-1.debian.tar.gz 3.6 KiB 2d488949eea4d071c955b286a4dbd5d50fbc9f146cc025f6647b3cb845e91844
h5py_2.0.1-1.dsc 1.9 KiB 9977f246cb8459cc744be9720fce1852985a30414a34e837e6e24e19b6c65351

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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.