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| hashlookup:parent-total | 20 |
| hashlookup:trust | 100 |
The searched file hash is included in 20 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
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| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-h5py |
| PackageSection | python |
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| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-h5py |
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| PackageDescription | general-purpose Python interface to hdf5 (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 modules for Python 3. |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python3-h5py |
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| PackageDescription | general-purpose Python interface to hdf5 (Python 2) 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 2. |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python-h5py |
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| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
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| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
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| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
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| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
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| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
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| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
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