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pytables package

pytables 3.1.0-2ubuntu1 source package in Ubuntu

Changelog

pytables (3.1.0-2ubuntu1) trusty; urgency=medium

  * debian/tests/control: Fix dependencies for the -dbg autopkgtests.
 -- Adam Conrad <email address hidden>   Thu, 03 Apr 2014 07:09:43 -0600

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Uploaded by:
Adam Conrad
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
pytables_3.1.0.orig.tar.gz 3.5 MiB f5cfa0cf1d3c49880a84a5643dce1380c846b2642097267eedc7852a5ffdc20e
pytables_3.1.0-2ubuntu1.debian.tar.gz 16.5 KiB c4f379131f71de22a005017373c1e17dd5437423d357d7f8222c29ea4ad82b38
pytables_3.1.0-2ubuntu1.dsc 2.3 KiB 6ec24e33fb2c278e9cbd794252966c1c8ea5df44639eadccd9ff805e26430b2c

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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.
 .
 This is the Python 2 version of the package.

python-tables-data: hierarchical database for Python based on HDF5 - test data

 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 daya fils used for unit testing.

python-tables-dbg: hierarchical database for Python based on HDF5 (debug extension)

 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.
 .
 This package contains the extension built for the Python 2 debug interpreter.

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.

python-tables-lib: hierarchical database for Python based on HDF5 (extension)

 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.
 .
 This package contains the extension built for the Python 2 interpreter.

python3-tables: hierarchical database for Python3 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.
 .
 This is the Python 3 version of the package.

python3-tables-dbg: hierarchical database for Python 3 based on HDF5 (debug extension)

 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.
 .
 This package contains the extension built for the Python 3 debug interpreter.

python3-tables-lib: hierarchical database for Python3 based on HDF5 (extension)

 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.
 .
 This package contains the extension built for the Python 3 interpreter.