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Last update: 12 august 2022 | SRPMs: 17595 | Visits: 24760617
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Group :: Development/Python3
RPM: h5py

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Current version: 3.2.1-alt2
Build date: 30 may 2022, 10:28 ( 10.6 weeks ago )
Size: 296.04 Kb

Home page:

License: MIT
Summary: Python interface to the Hierarchical Data Format library, version 5

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.

Current maintainer: Grigory Ustinov

List of contributors

List of rpms provided by this srpm:

  • python-module-h5py
  • python-module-h5py-debuginfo
  • python-module-h5py-doc
  • python-module-h5py-pickles
  • python-module-h5py-tests
  • python3-module-h5py
  • python3-module-h5py-debuginfo
  • python3-module-h5py-tests
    design & coding: Vladimir Lettiev aka crux © 2004-2005, Andrew Avramenko aka liks © 2007-2008
    current maintainer: Michael Shigorin