套件：python-h5py-doc（3.12.1-1）
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.
其他與 python-h5py-doc 有關的套件
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- dep: libjs-jquery (>= 3.6.0)
- JavaScript library for dynamic web applications
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- dep: libjs-mathjax
- JavaScript display engine for LaTeX and MathML
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- dep: libjs-sphinxdoc (>= 7.4)
- JavaScript support for Sphinx documentation
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- dep: sphinx-rtd-theme-common (>= 3.0.2+dfsg)
- sphinx theme from readthedocs.org (common files)