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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 traditional POSIX /path/to/resource syntax. In addition to providing interoperability with existing HDF5 datasets and platforms, h5py is a convenient way to store and retrieve arbitrary NumPy data and metadata.
| Package | Summary | Distribution | Download |
| python-h5py-3.10.0-1.aarch64.html | A Python interface to the HDF5 library | OpenMandriva Cooker for aarch64 | python-h5py-3.10.0-1.aarch64.rpm |
| python-h5py-3.10.0-1.aarch64.html | A Python interface to the HDF5 library | OpenMandriva 6.0 for aarch64 | python-h5py-3.10.0-1.aarch64.rpm |
| python-h5py-3.10.0-1.x86_64.html | A Python interface to the HDF5 library | OpenMandriva Cooker for x86_64 | python-h5py-3.10.0-1.x86_64.rpm |
| python-h5py-3.10.0-1.x86_64.html | A Python interface to the HDF5 library | OpenMandriva 6.0 for x86_64 | python-h5py-3.10.0-1.x86_64.rpm |
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