Key | Value |
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FileName | ./usr/share/doc/python-h5py-doc/html/_sources/whatsnew/2.0.rst.txt |
FileSize | 7131 |
MD5 | 6F4117E532FA83F39B7CE8D362210C32 |
SHA-1 | 1B844817E87AD5D82263857B3B3E5F40F0F956EB |
SHA-256 | E4076FCD14DE7F97E1147406429855F540A6F93E7097D09A084D107CD11CA5A5 |
SSDEEP | 192:lIlK71alhn+Qx5c/nMMKFAOvT60Wks++5x:ulKBAbx5c/MH76qy5x |
TLSH | T1C4E1E65EBF60933105A7C1E6674E62D1E310927C2322975098ADC3EC2175F3AD67F2EA |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
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FileSize | 102910 |
MD5 | 72CA039A2F3FD36B696B099CD2B7E1B9 |
PackageDescription | h5py documentation 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 for h5py. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-h5py-doc |
PackageSection | doc |
PackageVersion | 2.6.0-1 |
SHA-1 | 30819439E967584360A405FDB96B73D21E44CEAC |
SHA-256 | CE97D5595B5BC05A7F0A0AB2028D4C8A84292A56E01BB5CBA5E882D677CEC19D |
Key | Value |
---|---|
FileSize | 165690 |
MD5 | 839FF78FF0F2F00CE78312D85885ADBC |
PackageDescription | documentation 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-h5py-doc |
PackageSection | doc |
PackageVersion | 2.7.1-2 |
SHA-1 | FBF512DCC2B7672E6767A44099B15B23A283AB7F |
SHA-256 | 8FD1016A9C2877F30FB42E84E9880AF93DD4AC345F44AC7F493C68BD31549248 |
Key | Value |
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FileSize | 114670 |
MD5 | 4D6D2A3636365432164C08E012E3AA0D |
PackageDescription | h5py documentation 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 for h5py. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-h5py-doc |
PackageSection | doc |
PackageVersion | 2.7.0-1 |
SHA-1 | EE8792E2B51F1197B067F2216D2684CF963F9832 |
SHA-256 | 6BDA0B50BEEA5690E172B26E9AAB2F412EED3C39C036C0B2F097795146817F6F |