Paketti: python3-h5py-dbg (2.8.0-3)

[ Source: h5py  ]

debug extensions for h5py (Python 3)

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 debug extensions for Python 3.

Tagit: Role: Debugging symbols

Muut pakettiin python3-h5py-dbg liittyvät paketit

• dep: libc6 (>= 2.4)

  GNU-C-kirjasto: jaetut kirjastot
  myös näennäispaketti, jonka toteuttaa libc6-udeb

• dep: libhdf5-103

  Hierarchical Data Format 5 (HDF5) - runtime files - serial version

• dep: python3-dbg (<< 3.8)

  debug build of the Python 3 Interpreter (version 3.7)

  dep: python3-dbg (>= 3.6~)

• dep: python3-h5py (= 2.8.0-3)

  general-purpose Python interface to hdf5 (Python 3)

• dep: python3-numpy (>= 1:1.14.3)

  Fast array facility to the Python 3 language

• dep: python3-numpy-abi9

  näennäispaketti, jonka toteuttaa python3-numpy

• dep: python3-numpy-dbg

  Fast array facility to the Python 3 language (debug extension)

Imuroi python3-h5py-dbg

Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Paketin koko	Koko asennettuna	Tiedostot
armhf	11,411.8 kt	32,079.0 kt	[tiedostoluettelo]