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pytables package

pytables 2.3.1-2ubuntu2 source package in Ubuntu

Changelog

pytables (2.3.1-2ubuntu2) precise; urgency=low

  * fix_library_detection.patch:
    fix detection of multiarched libraries, reenables bzip and lzo compression
  * disable_blosc.patch:
    disable blosc compressor on arm, not functional due to unaligned memory
    accesses
  * make testsuite output verbose
 -- Julian Taylor <email address hidden>   Wed, 22 Feb 2012 20:02:57 +0100

Upload details

Uploaded by:
Julian Taylor
Uploaded to:
Precise
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
python
Urgency:
Low Urgency

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File Size SHA-256 Checksum
pytables_2.3.1.orig.tar.gz 4.1 MiB 1288b742ca55d10ff217628d0cff8f38ce3f2f4634a5ced0b23feecc204e8549
pytables_2.3.1-2ubuntu2.debian.tar.gz 15.7 KiB 44daf5271aa8dabe86af0188cbe8165470f7b110cbeea99dda65e594a4a05c98
pytables_2.3.1-2ubuntu2.dsc 2.2 KiB 0d3a6519668f615182da859dd3fa457f93735eff4b4e3f39adf3cf03aaa32c36

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Binary packages built by this source

python-tables: hierarchical database for Python based on HDF5

 PyTables is a hierarchical database package designed to efficiently
 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.

python-tables-doc: hierarchical database for Python based on HDF5 - documentation

 PyTables is a hierarchical database package designed to efficiently
 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.
 .
 This package includes the manual in PDF and HTML formats.