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Paket: bcolz-doc (1.2.0+ds1-1)

high performant compressed data container (documentation)

bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes.

This package contains the documentation.

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  • dep: libjs-sphinxdoc (>= 1.0)
    JavaScript support for Sphinx documentation
  • rec: python-bcolz
    high performant compressed data container based on NumPy (Python 2)
  • rec: python3-bcolz
    high performant compressed data container based on NumPy (Python 3)

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