Source: pytables
Section: python
Priority: optional
Maintainer: Francesc Altet <faltet@carabos.com>
Standards-Version: 3.7.2
XS-Python-Version: >= 2.4
Build-Depends: debhelper (>= 5.0.38), libhdf5-serial-dev (>= 1.6.5),
               python-all-dev, python-central (>= 0.5.6),
               python-numpy (>= 1.0.3), zlib1g-dev, liblzo2-dev, libbz2-dev

Package: python-tables
Section: python
Architecture: any
XB-Python-Version: ${python:Versions}
Depends: ${python:Depends}, ${shlibs:Depends}, python-numpy
Recommends: ${shlibs:Recommends}
Suggests: python-tables-doc, python-netcdf, ${shlibs:Suggests}
Description: hierarchical database for Python based on HDF5
 PyTables is a hierarchical database package designed to efficently
 manage very large amounts of data. PyTables is built on top of the
 HDF5 library and the NumPy package. It features an object-oriented
 interface that, combined with natural naming and C-code generated
 from Pyrex sources, makes it a fast, yet extremely easy to use tool
 for interactively save and retrieve large amounts of data.
 .
  - Compound types (records) can be used entirely from Python (i.e. it
    is not necessary to use C for taking advantage of them).
  - The tables are both enlargeable and compressible.
  - I/O is buffered, so you can get very fast I/O, specially with
    large tables.
  - Very easy to select data through the use of iterators over the
    rows in tables. Extended slicing is supported as well.
  - It supports the complete set of NumPy, Numeric and numarray objects.
 .
  Homepage: http://www.pytables.org

Package: python-tables-doc
Section: doc
Architecture: all
Suggests: xpdf | pdf-viewer
Description: hierarchical database for Python based on HDF5 - documentation
 This package includes the manual in PDF and HTML formats.
 .
  Homepage: http://www.pytables.org
