deb_control_files:
- control
- md5sums
deb_fields:
Architecture: all
Built-Using: sphinx (= 7.4.7-4)
Depends: libjs-jquery (>= 3.6.0), libjs-sphinxdoc (>= 7.4), sphinx-rtd-theme-common
(>= 3.0.1+dfsg), libjs-mathjax
Description: |-
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.
Homepage: https://www.h5py.org/
Installed-Size: '2482'
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Multi-Arch: foreign
Package: python-h5py-doc
Priority: optional
Section: doc
Source: h5py
Version: 3.11.0-8
srcpkg_name: h5py
srcpkg_version: 3.11.0-8