Ubuntu
h5py package

h5py 2.2.1-1build2 source package in Ubuntu

Changelog

h5py (2.2.1-1build2) trusty; urgency=medium

  * No change rebuild to drop python3.3 compiled extension.
 -- Dimitri John Ledkov <email address hidden>   Tue, 01 Apr 2014 14:16:38 +0100

Upload details

Uploaded by:
Dimitri John Ledkov
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Trusty release universe python

Downloads

File Size SHA-256 Checksum
h5py_2.2.1.orig.tar.gz 955.9 KiB b4510cb74aef332847dc88e3df6910d7af68c709b3556fc960a687c56ba6a4cb
h5py_2.2.1-1build2.debian.tar.gz 4.1 KiB f10818302e241c34fce7090083a01562b449e9aeceb73058b6b71755bd210a07
h5py_2.2.1-1build2.dsc 2.1 KiB 913add0f07cde54433b17edc3bcda5f7f5cd039c3fefb9dc553f7dd4d8e55132

Available diffs

View changes file

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.