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Linux temps réel embarqué et outils de développements
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Technique |
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python-tables
| python-tables | hierarchical database for Python based on HDF5 | | Priority | |
| Section | python |
| Installed size | 3656 |
| Maintainer | Francesc Altet <faltet@carabos.com> |
| Architecture | i386 |
| Version | 1.3.2-2 |
| Depends | python-central (>= 0.5), python (<< 2.5), python (>= 2.3), libc6 (>= 2.3.6-6), libhdf5-serial-1.6.5-0 | libhdf5-1.6.5-0, python-numarray (>= 1.5.1-4) |
| Suggests | python-tables-doc, python-numeric, libucl1 (>= 1.03) |
| File name | pool/main/p/pytables/python-tables_1.3.2-2_i386.deb |
| Description | PyTables is a hierarchical database package designed to efficently manage very large amounts of data. PyTables is built on top of the HDF5 library and the numarray 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 all the Numeric, numarray and NumPy packages. .
Homepage:
http://www.pytables.org |
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Etude RTOS