Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	654600
MD5	6F4096C754466F6985F285717AB4008D
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9+b2
SHA-1	D5FA705BB90EE56338E4D91C1B6D77F47C8748BE
SHA-256	5198F10990381D4AA303550229559FE27B2E4E9ABF37A7FDE7D6E5A608FABEFE

Key	Value
FileSize	598300
MD5	03908787525F5FF8D50B9D340782F09C
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9+b2
SHA-1	933B90D867C78AE67268BCAED4B8D629F8B54F83
SHA-256	AA27BFF9D36E9901F381C19B132D9B5ED6AE17CCB7C2D6BBF661146B23630080

Key	Value
FileSize	647460
MD5	15ABCADACBB4CC60ABD998B5D5F835F1
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9build2
SHA-1	66D83A16052A1335809A1E8130E0E259DFDA7409
SHA-256	81338A5C2109322AD111962960CD5FCD34509650AE99F357CEA3C88FD08982C8

Key	Value
FileSize	633500
MD5	84D0949CD24967AEA22DA909EC18E981
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9+b2
SHA-1	EC471F28A702EDD94F71F8F5EC54F3E0BCC77224
SHA-256	6CF6E21D889B9A7EB875875E10C63D087AADA3313A4A32C5948B0E6B2C100A68

Key	Value
FileSize	602152
MD5	AD04E76B81395DF732681FCEB7BEEEF7
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9+b2
SHA-1	2F2D229AF4C4BF8E4E1BADABFDC5D6FE4EBFEB08
SHA-256	9B6A80F7F842F07DDAE18FCA167EF684FF71476197D1FD4A5CA0ADA5ADA87780

Key	Value
FileSize	657104
MD5	BFF2D6678571FBFB65A358CAE6BEC99D
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9+b2
SHA-1	E5D25E8C10B8F2D80D186B6F3D77C9A0AF7A780A
SHA-256	E0783104E344189EE43EBEB79FC27E7981C11B3CE390F3A936AB08A73D118CCE

Key	Value
FileSize	541008
MD5	FE2D0F2F213B40613A9846D4AE4FB151
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9+b2
SHA-1	63B52954DE34C193A1B23F49AAB3A5CFA29EF6B3
SHA-256	BA4D258CFFCBEF2B60409DC2ED8B7CCD425E267132084A6399965A8794125CFC

Key	Value
FileSize	547836
MD5	CCD03571F04413F8FD925D7DCE5311C1
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9+b2
SHA-1	1DEB9732CFC41AB25725FE67D05B80A994DEC5AF
SHA-256	469C6ADF9AF7A03ECFACD820123115EEC701BFFFF86A221D8B94D8C95CB7534D

Key	Value
FileSize	579244
MD5	CD40714312AE20DE866FD37D5D34CBE1
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9+b2
SHA-1	8B50FC5D2C11EFC05C8A3247051A9F6059689696
SHA-256	5A2F6464FA107495F3AABBDFA83FE2FF6061E3D5F866ADBFE937AA814C59FDD3

Key	Value
FileSize	581236
MD5	A1F96BA1D982A850FC1B9782F5F2646D
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9+b2
SHA-1	EC16F8A16CBB9F51BCFA5F63671A2EA6CA100DA7
SHA-256	4BC02BBEC412866AEAD11F62CEAF9D80F06808CEE6748BD2716FD5381304C7F8

Key	Value
FileSize	665652
MD5	2F63C2B80D63FB3E200BCDE703EFD9B9
PackageDescription	general-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-h5py-serial
PackageSection	python
PackageVersion	2.10.0-9
SHA-1	D7BB80DBEC72D4B3A4D9C4764EFB045C4D374818
SHA-256	F75F717FF074873E79DC0FE4B79E70C1E840D2A3B267A92BA9CBDF8CBC4EABC3