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Paketti: python3-bcolz (1.2.1+ds2-7build4)

high performant compressed data container based on NumPy (Python 3)

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 modules for Python 3.

Muut pakettiin python3-bcolz liittyvät paketit

  • depends
  • recommends
  • suggests
  • dep: libblosc1 (>= 1.9.2)
    high performance meta-compressor optimized for binary data
  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    myös näennäispaketti, jonka toteuttaa libc6-udeb
    dep: libc6 (>= 2.17) [arm64, ppc64el]
    dep: libc6 (>= 2.4) [armhf]
  • dep: python3
    interactive high-level object-oriented language (default python3 version)
    dep: python3 (<< 3.11)
    dep: python3 (>= 3.10~)
  • dep: python3-numpy (>= 1:1.20.0)
    Fast array facility to the Python 3 language
  • dep: python3-numpy-abi9
    näennäispaketti, jonka toteuttaa python3-numpy
  • dep: python3-pkg-resources
    Package Discovery and Resource Access using pkg_resources
  • rec: python3-mock
    Mocking and Testing Library (Python3 version)
  • rec: python3-numexpr
    Fast numerical array expression evaluator for Python 3 and NumPy
  • sug: bcolz-doc
    high performant compressed data container (documentation)
  • sug: python3-pandas
    data structures for "relational" or "labeled" data
  • sug: python3-tables
    hierarchical database for Python3 based on HDF5

Imuroi python3-bcolz

Imurointi kaikille saataville arkkitehtuureille
Arkkitehtuuri Paketin koko Koko asennettuna Tiedostot
amd64 298.0 kt1110 kt [tiedostoluettelo]
arm64 285.2 kt1053 kt [tiedostoluettelo]
armhf 288.4 kt920 kt [tiedostoluettelo]
ppc64el 333.7 kt1314 kt [tiedostoluettelo]