Parents (Total: 36)

The searched file hash is included in 36 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	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	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	494772
MD5	BB9B5B7FC1D27AAB13CD4259CD98B1F5
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 h5py for the Python 3 interpreter.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-h5py
PackageSection	python
PackageVersion	2.6.0-1
SHA-1	1F595459914A5545B690EBECB07CA96B9E68195E
SHA-256	3242C63CA0AAE313CDEB7678E5644C0CCB4DA057A34F6815D5E89B66A90ED95C

Key	Value
FileSize	630776
MD5	3A5F1C67B1FAD40046CDB8AE47335EFD
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	2.7.1-2
SHA-1	22F20216E19C9672C5F5380BF81744FCAF79EDD1
SHA-256	37858F0487C46EE8D26501C9EB1E1DF9E793B35D15E1AAE635150D2AD8C90810

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
MD5	7552A96CD8CC50D66596440C836A7804
PackageArch	ppc64
PackageDescription	The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, data sets and groups using established Python and NumPy concepts. A strong emphasis on automatic conversion between Python (Numpy) data types and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python. This is the Python 2 version of h5py.
PackageMaintainer	Fedora Project
PackageName	python2-h5py
PackageRelease	1.fc24
PackageVersion	2.6.0
SHA-1	3BC71F6FE22B7166E94302F86EAC6D6839A6B71B
SHA-256	915A22B366E5ED11B3D46D31E3E3963656BC17DB5B7FE2B2078A767562FF5355

Key	Value
FileSize	494930
MD5	989822E5EB4B0F99136F912CBEBF05EE
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 h5py for the Python 3 interpreter.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py
PackageSection	python
PackageVersion	2.7.0-1
SHA-1	3E7181424CDF68038B84E40AB5300C6EEF2539DA
SHA-256	83329DCB3F8CFEB3E13E35EA60900DD783C9961D4C17B069CD3F52ACC3EE2BC8

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

Key	Value
FileSize	485456
MD5	E6CCCCF38D1D53095DC7CACDCD9CCD41
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 h5py for the Python 3 interpreter.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py
PackageSection	python
PackageVersion	2.7.0-1
SHA-1	42B01D18BF4AF8F7B432FCE159F5878E30D57F3D
SHA-256	1F96EF860617AB226B02B56E1981303EA390B721E5B19EABDEECAE4AF0C1B5A5