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[ Paquet source : pytables  ]

Paquet : python3-tables-lib (3.4.4-2)

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hierarchical database for Python3 based on HDF5 (extension)

PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data.

It is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively save and retrieve very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that they take much less space (between a factor 3 to 5, and more if the data is compressible) than other solutions, like for example, relational or object oriented databases.

 - 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 objects.

This package contains the extension built for the Python 3 interpreter.

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Architecture Taille du paquet Espace occupé une fois installé Fichiers
amd64 427,4 ko1 546,0 ko [liste des fichiers]
arm64 355,6 ko1 466,0 ko [liste des fichiers]
armhf 393,9 ko1 034,0 ko [liste des fichiers]
i386 398,9 ko1 632,0 ko [liste des fichiers]