套件： python3-h5py-serial (3.6.0-2build1)
python3-h5py-serial 的相關超連結
Trisquel 的資源：
下載原始碼套件 h5py：
維護者：
Original Maintainers:
- Debian Science Maintainers (郵件存檔)
- Ghislain Antony Vaillant
- Mo Zhou
外部的資源：
- 主頁 [www.h5py.org]
相似套件：
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.
其他與 python3-h5py-serial 有關的套件
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- dep: libc6 (>= 2.17)
- GNU C Library: Shared libraries
同時作為一個虛擬套件由這些套件提供： libc6-udeb
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- dep: libhdf5-103-1
- HDF5 C runtime files - serial version
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- dep: libhdf5-hl-100
- HDF5 High Level runtime files - serial version
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- dep: liblzf1 (>= 1.5)
- Very small data compression library
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.11)
- dep: python3 (>= 3.10~)
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- dep: python3-numpy (>= 1:1.20.0)
- Fast array facility to the Python 3 language
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- dep: python3-numpy-abi9
- 本虛擬套件由這些套件提供： python3-numpy
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- sug: python-h5py-doc
- documentation for h5py
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- sug: python3-h5py
- general-purpose Python interface to hdf5