h5py 2.0.0-1 source package in Ubuntu
Changelog
h5py (2.0.0-1) unstable; urgency=low * New upstream version. * Bump standards version to 3.9.2 (no changes required). * Switch package to dh_python2. -- Soeren Sonnenburg <email address hidden> Sun, 24 Jul 2011 21:13:37 +0200
Upload details
- Uploaded by:
- Soeren Sonnenburg
- Uploaded to:
- Sid
- Original maintainer:
- Soeren Sonnenburg
- Architectures:
- any
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| h5py_2.0.0-1.dsc | 1.8 KiB | 1d270fd4917e6fff4fdf17ae28e7f43bff7feb1f16fe66fe58df8baf7a7a1bd9 |
| h5py_2.0.0.orig.tar.gz | 824.3 KiB | 0fc1c458e7df614c2d550e66ab450b2ff32e99f2b8e7126a6fae069f366e9f1e |
| h5py_2.0.0-1.debian.tar.gz | 4.2 KiB | bd15be4439c52c403d56df14e53216b5a9822a92fcd66c9e2021f0ea5a3a54e4 |
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.
