Ubuntu
h5py package

h5py 2.2.0-1 source package in Ubuntu

Changelog

h5py (2.2.0-1) unstable; urgency=low


  * New upstream version (Closes: #691797, #691282)
  * Bump compat version to 9.
  * Bump standards version to 3.9.4.
  * Provide python3 package (Closes: #670545)
  * Update Vcs-* field (Closes: #664325)
  * Add cython as build deps.

 -- Soeren Sonnenburg <email address hidden>  Sat, 16 Nov 2013 06:46:45 +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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Downloads

File Size SHA-256 Checksum
h5py_2.2.0-1.dsc 2.0 KiB 87dd91899c55006c88881beed5120946306f7b33579b037a8f200ebb4e9aaa88
h5py_2.2.0.orig.tar.gz 953.0 KiB 021c63a57a5ae231e3d60333634d1ae0fd4adaede2f918d6a699d38246dbd8a2
h5py_2.2.0-1.debian.tar.gz 3.8 KiB ac06720d64b5272115a571cb2ec52e7fb8cad5ead2dde6d2b60d9bb01f411471

Available diffs

No changes file available.

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.