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Source: pytables
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Antonio Valentino <antonio.valentino@tiscali.it>,
Yaroslav Halchenko <debian@onerussian.com>
Section: python
Testsuite: autopkgtest
Priority: optional
Build-Depends: debhelper (>= 9.0.0),
dh-python,
locales,
libhdf5-dev,
python-all-dev,
python-all-dbg,
python3-all-dev,
python3-all-dbg,
python-setuptools,
python3-setuptools,
python-six,
python3-six,
python-numpy,
python-numpy-dbg,
python3-numpy,
python3-numpy-dbg,
python-numexpr,
python-numexpr-dbg,
python3-numexpr,
python3-numexpr-dbg,
cython,
cython-dbg,
cython3,
cython3-dbg,
zlib1g-dev,
liblzo2-dev,
libblosc-dev,
liblz4-dev (>= 0.0~r122),
libsnappy-dev,
libbz2-dev,
libzstd-dev,
python-sphinx,
texlive-generic-extra,
texlive-latex-recommended,
texlive-latex-extra,
texlive-fonts-recommended,
libjs-jquery-cookie
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/pytables.git
Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/pytables.git
Homepage: http://www.pytables.org
X-Python-Version: >= 2.6
X-Python3-Version: >= 3.2
Package: python-tables
Architecture: all
Depends: ${misc:Depends},
${python:Depends},
python-tables-lib (>= ${source:Version}),
python-tables-lib (<< ${source:Version}.1~),
python-tables-data (= ${source:Version}),
python-numexpr
Suggests: python-tables-doc,
python-netcdf,
vitables
Description: 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.
Package: python-tables-lib
Architecture: any
Depends: ${misc:Depends},
${python:Depends},
${shlibs:Depends}
Recommends: python-tables (= ${source:Version})
Breaks: python-tables (<< 3.0.0-3)
Replaces: python-tables (<< 3.0.0-3)
Description: 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.
Package: python-tables-dbg
Architecture: any
Section: debug
Priority: extra
Depends: ${misc:Depends},
${python:Depends},
${shlibs:Depends},
python-tables (= ${source:Version}),
python-tables-lib (= ${binary:Version}),
python-dbg,
python-numpy-dbg,
python-numexpr-dbg
Suggests: python-tables-doc,
python-netcdf
Description: 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.
Package: python3-tables
Architecture: all
Depends: ${misc:Depends},
${python3:Depends},
python3-tables-lib (>= ${source:Version}),
python3-tables-lib (<< ${source:Version}.1~),
python-tables-data (= ${source:Version}),
python3-numexpr
Suggests: python-tables-doc,
python-netcdf,
vitables
Description: 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.
Package: python3-tables-lib
Architecture: any
Depends: ${misc:Depends},
${python3:Depends},
${shlibs:Depends}
Recommends: python3-tables (= ${source:Version})
Breaks: python3-tables (<< 3.0.0-3)
Replaces: python3-tables (<< 3.0.0-3)
Description: 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.
Package: python3-tables-dbg
Architecture: any
Section: debug
Priority: extra
Depends: ${misc:Depends},
${python3:Depends},
${shlibs:Depends},
python3-tables (= ${source:Version}),
python3-tables-lib (= ${binary:Version}),
python3-dbg,
python3-numpy-dbg,
python3-numexpr-dbg
Suggests: python-tables-doc,
python-netcdf
Description: 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.
Package: python-tables-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
${sphinxdoc:Depends},
libjs-jquery-cookie
Suggests: xpdf | pdf-viewer,
www-browser
Description: 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.
Package: python-tables-data
Architecture: all
Depends: ${misc:Depends}
Description: 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.
|
