Result for 08E818BD73FEE6E54AF4BD5BEE82AC7D68A2C78A

Query result

Key Value
FileName./usr/share/doc/python-tables-doc/bench/shelve-bench.py
FileSize6503
MD558FC1A272AA3D827BA8E4A9FBD27F139
SHA-108E818BD73FEE6E54AF4BD5BEE82AC7D68A2C78A
SHA-2560386A66AE8EB96CEFCEDC65063A4F26AA2932345E4993A5F13EB6BE08F3CE387
SSDEEP96:Cy/VO9a2QgAdfVQg27Z7jmQgrpDlSK8c/GjXY6wEQRBoMZvhvS23spLHPz2p3:CyY9rQ3QepDlSK8c/GjVL0OMZZqCspLG
TLSHT135D162131E423A3EC70361196C9A8652637185EB47D9253C38FEC6F91F0193683FDAEA
hashlookup:parent-total6
hashlookup:trust80

Network graph view

Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize4352102
MD5493355042CC1CCC5AFFA831CB3196246
PackageDescriptionhierarchical database for Python based on HDF5 - documentation PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes the manual in PDF and HTML formats.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-tables-doc
PackageSectiondoc
PackageVersion3.2.2-2
SHA-194BDB1F08B69D74B7EDF8E69410E2D352108B451
SHA-256735A091DC90390588ADD3A82FDF4D702CB536F76D46003EF230DA39FCEAFFC0B
Key Value
FileSize4479136
MD53183ECB4333BC875E3CF0E15BC92959D
PackageDescriptionhierarchical database for Python based on HDF5 - documentation PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. . It is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively save and retrieve very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that they take much less space (between a factor 3 to 5, and more if the data is compressible) than other solutions, like for example, relational or object oriented databases. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy objects. . This package includes the manual in PDF and HTML formats.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tables-doc
PackageSectiondoc
PackageVersion3.4.4-2
SHA-1E8FAAD6CAE9CBDA80391A6E9B222D984326EEF2F
SHA-25644060CB92F4597449495A47886A87AB1B1FB1649CA4B130D2490A1E9C8193685
Key Value
FileSize4232306
MD50D18C80E90973DD4DA2889B995D1F152
PackageDescriptionhierarchical database for Python based on HDF5 - documentation PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes the manual in PDF and HTML formats.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tables-doc
PackageSectiondoc
PackageVersion3.1.1-3
SHA-1DAEC331AB3AA8273DE9FB9F71DF651246D5CCB83
SHA-2563B4CACB2D5B25C2699F8DE20FAFDD59866BBCC445E7552424AFD76994756BF8E
Key Value
FileSize4430914
MD5A554027ECB6E07F4912033E7FC17171C
PackageDescriptionhierarchical database for Python based on HDF5 - documentation PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes the manual in PDF and HTML formats.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tables-doc
PackageSectiondoc
PackageVersion3.3.0-5
SHA-1E7EC9CA1D854B641D3301EED86B7EB3B220BEAC7
SHA-2569A7038E1B565CF6301961E7D6FDF89EAC31F03E877773AA5D8D65AA8236532A6
Key Value
FileSize4460396
MD564D2C2CC276A1999F707D12CD21D0ACC
PackageDescriptionhierarchical database for Python based on HDF5 - documentation PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. . It is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively save and retrieve very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that they take much less space (between a factor 3 to 5, and more if the data is compressible) than other solutions, like for example, relational or object oriented databases. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy objects. . This package includes the manual in PDF and HTML formats.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-tables-doc
PackageSectiondoc
PackageVersion3.4.2-4
SHA-1A1230DDD126EF67D8022DD88236B5F9EC2EECC19
SHA-256B465EB04AED9E8A5BCAC350D62E5F242347788EB40A6FCC6CB2E86DB0F934034
Key Value
FileSize4213978
MD50671139381EEE20C9F74FDFEBDE7F250
PackageDescriptionhierarchical database for Python based on HDF5 - documentation PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . This package includes the manual in PDF and HTML formats.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-tables-doc
PackageSectiondoc
PackageVersion3.1.1-0ubuntu1
SHA-195B374095AAD15CA7A19A0FFE3D3D3F658D2AFAF
SHA-256C7EE74FDE493D359CE86F62950E826E4AF050590A492470F7F00D709B70F4D25