Ubuntu
h5py package

h5py 2.0.1-2 source package in Ubuntu

Changelog

h5py (2.0.1-2) unstable; urgency=low


  * Build depend on libhdf5-dev instead of libhdf5-serial-dev to accomodate
  hdf5 transition.

 -- Soeren Sonnenburg <email address hidden>  Wed, 18 Jan 2012 21:50:16 +0100

Upload details

Uploaded by:
Soeren Sonnenburg
Uploaded to:
Sid
Original maintainer:
Soeren Sonnenburg
Architectures:
any
Section:
python
Urgency:
Low Urgency

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File Size SHA-256 Checksum
h5py_2.0.1-2.dsc 1.8 KiB 0c64a6693b585ca948899a6b8f273d339c466467fbe07ea5fd4c350c7e3b0c10
h5py_2.0.1.orig.tar.gz 823.8 KiB cc5242c8ede616af9d8781c6d06603ff5a1f0de3044877176cc31a00cc581c40
h5py_2.0.1-2.debian.tar.gz 3.6 KiB 1df33071780cfc58ee9138c8557921527a711f7b0f1ae23dd3e08d44b2d6895e

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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.