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pytables package

pytables 3.2.2-1build1 source package in Ubuntu

Changelog

pytables (3.2.2-1build1) xenial; urgency=medium

  * No-change rebuild to drop python3.4 support.

 -- Matthias Klose <email address hidden>  Tue, 19 Jan 2016 11:45:40 +0000

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

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File Size SHA-256 Checksum
pytables_3.2.2.orig.tar.gz 3.6 MiB 2626e874caa6b3fcf2bfc28b9dd6a40a3f859c72e19ce0764a60a6d77e350008
pytables_3.2.2-1build1.debian.tar.xz 16.3 KiB 5443bf1a6245f0982fe3bf0005ae26e2b929b8bd27c2beed9e6fe24306433ddd
pytables_3.2.2-1build1.dsc 3.0 KiB da095c0c1631634412cdf84a950b264091ee4b95b67611a48c59eba37ae8dd41

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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.