Package: python3-tables (3.6.1-3)

[ 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.

Other Packages Related to python3-tables

• dep: python-tables-data (= 3.6.1-3)

  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

  Fast array facility to the Python 3 language

• dep: python3-tables-lib (<< 3.6.1-3.1~)

  hierarchical database for Python3 based on HDF5 (extension)

  dep: python3-tables-lib (>= 3.6.1-3)

• sug: python-tables-doc (>> 3.4.2-3)

  hierarchical database for Python based on HDF5 - documentation

• sug: python3-netcdf4

  Python 3 interface to the netCDF4 (network Common Data Form) library

• sug: vitables

  graphical tool to browse and edit PyTables and HDF5 files

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