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pytables package

pytables 2.1.2-3.1build1 source package in Ubuntu

Changelog

pytables (2.1.2-3.1build1) natty; urgency=low

  * Rebuild to support python-numpy 1.5.1. (LP: #721271)
 -- Sameer Morar <email address hidden>   Fri, 18 Feb 2011 16:36:22 +0200

Upload details

Uploaded by:
Sameer Morar
Sponsored by:
Felix Geyer
Uploaded to:
Natty
Original maintainer:
Wen Heping
Architectures:
any
Section:
python
Urgency:
Low Urgency

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File Size SHA-256 Checksum
pytables_2.1.2.orig.tar.gz 4.5 MiB 948d80fb66693bca67863c4a7dc879dae1d6caa4235df0030ca0cc3220cffa39
pytables_2.1.2-3.1build1.diff.gz 11.6 KiB c7e66aad820dd38a38376deb53503fb9b9fd43e06ce97b01a8d7a4752afd1a1f
pytables_2.1.2-3.1build1.dsc 1.8 KiB 5f56943f3c60add5f196c0b84b591adbcab2edd4769bd88f33a561d0a6f973a8

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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.