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
FileSize	479484
MD5	87FBFFEE0640D45CB9B448C13388100F
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	7191F181458EF97ED5A29660C6FF8F2A5E0450AF
SHA-256	7A9849590567D7FA6DF8555FB72DFF80EAF6241EAEEE63CEA9033F15F52DCCD9

Key	Value
FileSize	511422
MD5	B5D190703D0DD2F6CC40110632D488D0
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	4D5AA7846DBD657880790C2F621AF350340442CF
SHA-256	16CF3CCF1E3B7D931FBCB3C74C30484C4EB55229626BB807CC43572DDD0A66BC

Key	Value
FileSize	493810
MD5	73FEC70D6D5D5CC9198D515E539E7A74
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	8ACF012722B63C06E8F8995AA162134F92A8C790
SHA-256	C339A4623BA8FAEA6CF7F7C57ED8617A11711372B9E839D5917CA0D2BCB3EB43

Key	Value
FileSize	449678
MD5	5241DDAEEA8584C0C9E4955FA3CD58CF
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	python3-h5py
PackageSection	python
PackageVersion	2.2.1-1.1+b1
SHA-1	65CCF44C7A739FC38B2F9AF1114C2645A8A5FD09
SHA-256	92B8C01BE56F9C55C9A46D5D5833322C445E437DAA652D600739A966860F4AE4

Key	Value
FileSize	483422
MD5	451B6A6F312AAE98F7CA2A138351259C
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	python3-h5py
PackageSection	python
PackageVersion	2.2.1-1.1+b1
SHA-1	A6EE62D33D77E89D7CFBAE2E9409FD94976BD244
SHA-256	B342194B93FC80F1493C7570B7F4F118CB225CEFC4DC61F26BBD3474C352E3FC

Key	Value
FileSize	469700
MD5	BCB35D4313C18768FDAB731067746B20
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	python3-h5py
PackageSection	python
PackageVersion	2.2.1-1.1+b1
SHA-1	F6CD5E7243D22C7BCD1715BD37BCBBEEEAE60728
SHA-256	3DDD2A4E6A241B46A3F735620DA17577C3CBE7D7C2D19BDBAEDC25668F8B5460

Key	Value
FileSize	501922
MD5	53AD53ABD8C4A47F1904546BA94B11F4
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	python3-h5py
PackageSection	python
PackageVersion	2.2.1-1.1+b1
SHA-1	3D7D0D4E8C38A2C49C2CCCD0789CD37139B6ADF6
SHA-256	90A4F1E5A385F80A2BA43333120D93EB68E0B3BC59C904ACCE6139148259540A

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