Package: python-h5py-doc (3.12.1-1)

[ Source: h5py  ]

documentation for h5py

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.

This package provides the documentation.

Other Packages Related to python-h5py-doc

• dep: libjs-jquery (>= 3.6.0)

  JavaScript library for dynamic web applications

• dep: libjs-mathjax

  JavaScript display engine for LaTeX and MathML

• dep: libjs-sphinxdoc (>= 7.4)

  JavaScript support for Sphinx documentation

• dep: sphinx-rtd-theme-common (>= 3.0.2+dfsg)

  sphinx theme from readthedocs.org (common files)

Download python-h5py-doc

Download for all available architectures

Architecture	Package Size	Installed Size	Files
all	251.3 kB	2,518.0 kB	[list of files]