Result for 078B04668FB1C72FAF10E7A4F363EDB5443559C1

Query result

Key Value
FileName./usr/share/doc/python-h5py-doc/api/html/_sources/h5g.rst.txt
FileSize621
MD53DE1D6D07CA07877A50CB45F5A2E2D66
SHA-1078B04668FB1C72FAF10E7A4F363EDB5443559C1
SHA-25667BBB8DCA91BE459E2AF61C3E46B276778B2C1498EAA7BE178AABAB739F49BF7
SSDEEP12:Xhuu8EEdMUpR0Fj94Ewj9Gufa1ZPCBoQDLYneMgE18:RCEl4E8GufUZPCBInerEG
TLSHT1C6F0F0CCBC15BD52407FC8E166AB8088C6A6B153E262401A14A947C85931BA4FCFFF08
hashlookup:parent-total8
hashlookup:trust90

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Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize187568
MD5BE656591DF15D3337F987D8793527B6B
PackageDescriptiondocumentation for h5py 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 documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion2.10.0-2build2
SHA-1EC29324B4F5212040019DC6785C2A2AD6872C170
SHA-2566993D6AA2B0934CFD10CC070FD795D79C13D4C5F7E92D64A73FDBD09A58F31B8
Key Value
FileSize222760
MD5719AF59DD295AC17CCD13B6DA8283591
PackageDescriptiondocumentation for h5py 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 documentation.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion3.5.0-2
SHA-151ABC22B20BFF0EAEC15587FDCCD9A2E01C61946
SHA-256C924F50C71FC6E6474F1576C36287F4B323DB634A0B83DDC9CECF765080D0EBD
Key Value
FileSize217148
MD5ADDBDEFD9EFA40637AB17F932D2CD986
PackageDescriptiondocumentation for h5py 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 documentation.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion3.4.0-1exp1
SHA-1E919494F1C0AD25A7636A1DC754EAB1247A79B93
SHA-2566805615FDF3889E0943231DAA99FF99782DB23EE9A87B071E8FA6386F0ABB503
Key Value
FileSize187392
MD573BDF23091DDA1A47167601DBD0BA4C0
PackageDescriptiondocumentation for h5py 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 documentation.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion2.10.0-9
SHA-15F8B8C7139C6525915B5E0DAE7F203AC53C0E021
SHA-256E536066186C6345EB86CC602ABC8085C5CC98B74F7E637648576A17DD7C657EE
Key Value
FileSize183232
MD5E6245B4DE080754614BCC5FA8F9A2292
PackageDescriptiondocumentation for h5py 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 documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion2.10.0-9
SHA-16006AAA7732E3F283FC9B3A00E03137360FB123B
SHA-2565C56E896A9B454DB48062ACEFBC5F5162EBF388D607ED8323576FB2B753DB744
Key Value
FileSize182716
MD52B493D17C279E0769C89ECD4E8CED32F
PackageDescriptiondocumentation for h5py 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 documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion2.10.0-9build2
SHA-1CDCEB3D85D44AA6E1D1E50DD0E14D3C275988F16
SHA-2561931B6C494A83F4064AB6870603EAD3F85EE227641CB5A77A894C6E994D1B82D
Key Value
FileSize216580
MD593C56CBD71CE10A56794BA4FAD2D1724
PackageDescriptiondocumentation for h5py 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 documentation.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion3.3.0-2
SHA-1C091938D35DDE45D65E95D38EE595498B4318AD7
SHA-256450BECE82FCF2D3DCA69FC807E65427CA579657E9F15D84DDBEBA2FAAD772D28
Key Value
FileSize218852
MD5B60D783670B3601E533F59C529FE28E8
PackageDescriptiondocumentation for h5py 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 documentation.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion3.3.0-3
SHA-178E7F257B4643E5A4B0183A00E520FF48CB721FA
SHA-2563A17B441E95740F3DFBDF03B28A08B4D28EA85CCFB22FC257869CA98C199FBAE