Ubuntu
h5py package

h5py 2.7.1-2 source package in Ubuntu

Changelog

h5py (2.7.1-2) unstable; urgency=medium

  * Fixup the debug package description for Python 2.
    Thanks to James Clarke
  * Replace occurrences of findstring with filter.
    Thanks to James Clarke
  * Build and install the low-level API documentation
    - Move Sphinx to Build-Depends
    - Build and install the API documentation
    - New patch Fix-build-of-API-docs-with-Python-3.patch
    Thanks to Drew Parsons for reporting (Closes: #874712)
  * Filter egg-info directory with extend-diff-ignore
  * Add recommended get-orig-source target

 -- Ghislain Antony Vaillant <email address hidden>  Mon, 11 Sep 2017 10:15:49 +0100

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release universe python

Downloads

File Size SHA-256 Checksum
h5py_2.7.1-2.dsc 2.6 KiB 0151d60e96df29a96de0c34509ac1ea003e2fb1c1b03ab3d9e92fbd145603ca2
h5py_2.7.1.orig.tar.gz 258.0 KiB 180a688311e826ff6ae6d3bda9b5c292b90b28787525ddfcb10a29d5ddcae2cc
h5py_2.7.1-2.debian.tar.xz 7.6 KiB 8ab897a33987642600416065297ba8c67ae73aed9fc11c6e0254b8359616104c

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Binary packages built by this source

python-h5py: No summary available for python-h5py in ubuntu artful.

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python-h5py-dbg: debug extensions for h5py (Python 2)

 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 debug extensions for Python 2.

python-h5py-doc: No summary available for python-h5py-doc in ubuntu cosmic.

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python3-h5py: No summary available for python3-h5py in ubuntu artful.

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python3-h5py-dbg: No summary available for python3-h5py-dbg in ubuntu artful.

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