パッケージ: python3-h5py-serial (3.10.0-1ubuntu3)
python3-h5py-serial に関するリンク
Trisquel の資源:
h5py ソースパッケージをダウンロード:
メンテナ:
Original Maintainers:
- Debian Science Maintainers (メールアーカイブ)
- Ghislain Antony Vaillant
- Mo Zhou
外部の資源:
- ホームページ [www.h5py.org]
類似のパッケージ:
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.
その他の python3-h5py-serial 関連パッケージ
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- dep: libc6 (>= 2.14)
- GNU C Library: Shared libraries
以下のパッケージによって提供される仮想パッケージでもあります: libc6-udeb
-
- dep: libhdf5-103-1t64
- HDF5 C runtime files - serial version
-
- dep: libhdf5-hl-100t64
- 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 (<< 3.13)
- dep: python3 (>= 3.12~)
-
- dep: python3-numpy (>= 1:1.25.0)
- Fast array facility to the Python language (Python 3)
-
- dep: python3-numpy-abi9
- 以下のパッケージによって提供される仮想パッケージです: python3-numpy
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- rec: python3-h5py
- general-purpose Python interface to hdf5
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- sug: python-h5py-doc
- documentation for h5py