Parents (Total: 31)

The searched file hash is included in 31 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	493584
MD5	BC17CAF1D18C04DF5390D77AD939651F
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 h5py for the Python 2 interpreter.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.7.0-1
SHA-1	0522F6BF5C0F567449D8580678878AAC46BE542C
SHA-256	A06CF6C0E39919E10F9C2BFDB592A43BC90D49ED34B195BAE04BFF49F3CA09C8

Key	Value
FileSize	601580
MD5	818C252B09DD520BE29F0BD9C1DB78D9
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
PackageSection	python
PackageVersion	2.8.0-3
SHA-1	0A7731E531860283B0B8DF8ADCF8981A97AF5CD1
SHA-256	F3B00B0F2859DBA3DFA63946995053AE4DFE1F6F26FE9F489306811D0EC56CC4

Key	Value
FileSize	550772
MD5	A3344C67E359F8FC996C278ABC6142AE
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.7.1-2
SHA-1	0FBE51CEFC3A5084D01B3FA2E45BBEDA53DC316B
SHA-256	2AA53F712ED6624E13A2A3EF6DBA78E2718B10D3A40C623D3F6834BEA6378C52

Key	Value
FileSize	692516
MD5	1205ECD894593438350BDA7BE356C32B
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
PackageSection	python
PackageVersion	2.8.0-3
SHA-1	119A4CFF2013818B7E70A17FC875C66B01A58C79
SHA-256	E1B4A5AF87D8BF314976CDDCF1467D5E03E3C2AF781FAFB04E9D68CEA930AECC

Key	Value
FileSize	582524
MD5	AAE1A815869E23E8595E459AF7DF81D7
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 h5py for the Python 2 interpreter.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.7.0-1
SHA-1	1A58437DF3D133432BC2090328658600C4AB62D1
SHA-256	8371CF7B6FC3CF271D929E0E70217FC7D67BABEEFF53FB918FAE7DF371B0E5DF

Key	Value
FileSize	457142
MD5	61089C2126E054DC9E688755F0CC30B1
PackageDescription	h5py is a general-purpose Python interface to hdf5 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.
PackageMaintainer	Soeren Sonnenburg <sonne@debian.org>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.2.1-1.1+b1
SHA-1	27CD2D6FA454BAB374F4309AA8529218E66468A7
SHA-256	564838FFDFEA9D95701D42D45E73926EE64BC2FF68888955F3966C717C1C7359

Key	Value
FileSize	595128
MD5	624F93A708B29AA120785E666522F91C
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
PackageSection	python
PackageVersion	2.8.0-3
SHA-1	30F5458013005466C321C5E084569C7F3229F9F9
SHA-256	E8B69938CBCDE5A629140390E29DC597F28C7C91442B741BCA03557C5416CC77

Key	Value
FileSize	488064
MD5	18F3909CA397A9E3BC736CD8AA673F1D
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 h5py for the Python 2 interpreter.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.6.0-1
SHA-1	322F4EAACD18CA0E07D276C9F24BEC9C8178F711
SHA-256	24B3274D9BF4A364F99FE8974ED79C061F501B034DD91B286468AA17E1697FFA

Key	Value
FileSize	873460
MD5	6049E04F9FC874F11CBCDEFE18D5C83A
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-h5py
PackageSection	python
PackageVersion	2.10.0-2build2
SHA-1	401FAC6DD2EFAA8CD06E74EAA02D434BC9D5F138
SHA-256	13EA1E8AC175C572208777EB3D7E6F40C5DACDC70EAEA15C6B1C1563535981A4

Key	Value
FileSize	622636
MD5	EC9F1643BC79F7DA34D5DB7FA063A214
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-h5py
PackageSection	python
PackageVersion	2.7.1-2
SHA-1	402892BDF434C7ADFFDEDD294D1462A53720A8B7
SHA-256	56534F1CF87628482A3BD23DCE8096A17B1AB3E5AE5E20075DF72CD581D237AA