pytables 3.0.0-2 source package in Ubuntu
Changelog
pytables (3.0.0-2) unstable; urgency=low * Explicitly specify the minimum numexpr version in the binary package dependency line -- Antonio Valentino <email address hidden> Sat, 21 Sep 2013 17:48:09 +0000
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pytables_3.0.0-2.dsc | 2.0 KiB | 05aeb03b660c416b34e6c734230df1ed584505dab11ddc3aa19e0b17c8d1d7cc |
pytables_3.0.0.orig.tar.gz | 3.3 MiB | cdd181892861645e28b7429a4463022bfa6cc0e970860e5012851875f312347d |
pytables_3.0.0-2.debian.tar.gz | 19.4 KiB | 46e4e08fc2193dfd23e69a6a028670c3fb98b1d04b87f6532074e93c4c915f8f |
Available diffs
- diff from 2.4.0-4 to 3.0.0-2 (744.8 KiB)
No changes file available.
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-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.
- 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.