pytables 2.4.0-4 source package in Ubuntu
Changelog
pytables (2.4.0-4) unstable; urgency=low * Fix the override_dh_sphinxdoc rule to avoid failures when the -doc package is not built -- Antonio Valentino <email address hidden> Mon, 24 Jun 2013 20:20:45 +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 |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pytables_2.4.0-4.dsc | 1.8 KiB | 516d6050818699360267f4a8758ec9dea1250dea0f8af6b04516b56a86f7ca3a |
pytables_2.4.0.orig.tar.gz | 3.4 MiB | c986b42ab0870e741bb68ea88c183aa7b3777158eda289edef7b1a434f832619 |
pytables_2.4.0-4.debian.tar.gz | 12.7 KiB | ee3c7e3e7936c19fe4ccabf522b6f0cc5bc7119f69b264f535b05f4401ecfa81 |
Available diffs
- diff from 2.4.0-1ubuntu1 (in Ubuntu) to 2.4.0-4 (4.0 KiB)
- diff from 2.4.0-3 to 2.4.0-4 (529 bytes)
No changes file available.
Binary packages built by this source
- python-tables: No summary available for python-tables in ubuntu saucy.
No description available for python-tables in ubuntu saucy.
- 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.