Package: python3-h5py-serial
Source: h5py
Version: 3.15.1-4build1
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size: 4925
Depends: python3 (<< 3.15), python3 (>= 3.14~), python3-numpy (>= 2.0.0~), python3-numpy2-abi0 | python3-numpy-abi9, python3:any, libc6 (>= 2.14), libhdf5-310 (>= 1.14.4.3), libhdf5-hl-310 (>= 1.8.13), liblzf1 (>= 1.5)
Recommends: python3-h5py
Suggests: python-h5py-doc
Conflicts: python3-h5py (<< 2.10.0-3~)
Section: python
Priority: optional
Homepage: https://www.h5py.org/
Description: 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.
