Paquet : python3-tables (3.7.0-5)

[ Paquet source : pytables  ]

hierarchical database for Python3 based on HDF5

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 is the Python 3 version of the package.

Autres paquets associés à python3-tables

• dep: python-tables-data (= 3.7.0-5)

  hierarchical database for Python based on HDF5 - test data

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-numexpr

  Fast numerical array expression evaluator for Python 3 and NumPy

• dep: python3-numpy

  gestion rapide des tableaux avec le langage Python 3

• dep: python3-packaging

  core utilities for python3 packages

• dep: python3-tables-lib (<< 3.7.0-5.1~)

  hierarchical database for Python3 based on HDF5 (extension)

  dep: python3-tables-lib (>= 3.7.0-5)

• sug: python-tables-doc

  hierarchical database for Python based on HDF5 - documentation

• sug: python3-netcdf4

  interface de Python 3 pour la bibliothèque netCDF4 (network Common Data Form)

• sug: vitables

  outil graphique pour éditer ou parcourir des fichiers PyTables et HDF5

Télécharger python3-tables

Télécharger pour toutes les architectures proposées

Architecture	Taille du paquet	Espace occupé une fois installé	Fichiers
all	331,4 ko	2 821,0 ko	[liste des fichiers]