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Paketti: python3-h5py-serial (3.6.0-2build1)

general-purpose Python interface to hdf5 (Python 3 serial)

HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data.

From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax.

H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name.

This package provides the modules for Python 3, built for serial (single processor) jobs.

Muut pakettiin python3-h5py-serial liittyvät paketit

  • depends
  • recommends
  • suggests
  • dep: libc6 (>= 2.4)
    GNU C Library: Shared libraries
    myös näennäispaketti, jonka toteuttaa libc6-udeb
  • dep: libhdf5-103-1
    HDF5 C runtime files - serial version
  • dep: libhdf5-hl-100
    HDF5 High Level runtime files - serial version
  • dep: liblzf1 (>= 1.5)
    Very small data compression library
  • 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

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