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[ Paquet source : pytables  ]

Paquet : python3-tables-lib (3.6.1-3)

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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 384,3 ko1 390,0 ko [liste des fichiers]
arm64 341,5 ko1 315,0 ko [liste des fichiers]
armel 344,7 ko1 245,0 ko [liste des fichiers]
armhf 355,8 ko929,0 ko [liste des fichiers]
i386 399,6 ko1 516,0 ko [liste des fichiers]
mips64el 315,9 ko1 439,0 ko [liste des fichiers]
mipsel 329,6 ko1 376,0 ko [liste des fichiers]
ppc64el 380,1 ko1 859,0 ko [liste des fichiers]
s390x 334,6 ko1 411,0 ko [liste des fichiers]