Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	00CA6D7DF808F51511DD192220064ECF
PackageArch	x86_64
PackageDescription	PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python2-tables
PackageRelease	lp151.2.2
PackageVersion	3.4.4
SHA-1	C02C7D9101DE1B14DC6700E5D5BD26E61AE0DF6D
SHA-256	A7034797E3ECBC78B5BD33AEFC294F24F8FA3A824FEECF956348A7AD8987E83E

Key	Value
FileSize	4479136
MD5	3183ECB4333BC875E3CF0E15BC92959D
PackageDescription	hierarchical 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.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-tables-doc
PackageSection	doc
PackageVersion	3.4.4-2
SHA-1	E8FAAD6CAE9CBDA80391A6E9B222D984326EEF2F
SHA-256	44060CB92F4597449495A47886A87AB1B1FB1649CA4B130D2490A1E9C8193685

Key	Value
MD5	3F4F8EB84A8D0D8358A59D6EC68952E4
PackageArch	s390x
PackageDescription	PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageName	python3-tables
PackageRelease	9.5
PackageVersion	3.4.4
SHA-1	89DFE0F81B91C657BA48D075CD502D34EE53E51B
SHA-256	1192ECC7941875B1598FE11D76FEA527FB2581C28E1F80DCCEB628F6A097BC93

Key	Value
MD5	654B0A2D8F0454EECA3DAEF5AA7E1512
PackageArch	x86_64
PackageDescription	PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-tables
PackageRelease	lp151.2.2
PackageVersion	3.4.4
SHA-1	C732C32ED99D20641A5AC4E4792ACBAD53C9007A
SHA-256	841BFCD1815EDC022E2DC86B9368207DF1443F4DDD573263C7BD0851BD532160

Key	Value
MD5	FF5B3025918D837A34E8BB1838A858B1
PackageArch	x86_64
PackageDescription	PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageName	python3-tables
PackageRelease	lp150.4.7
PackageVersion	3.4.4
SHA-1	86BED928FD2DCED5B05AC3968B5F4751119F2CD8
SHA-256	EBF6D6509709109C81F399C78A76DFC0603ECD662DFC7EA5D82CB6FB29E5D7B5

Key	Value
MD5	64093B7D544BDD04C39BFCC0E331A3E2
PackageArch	x86_64
PackageDescription	PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageName	python2-tables
PackageRelease	lp150.4.7
PackageVersion	3.4.4
SHA-1	FFD6DA4FE31C9A52D4839864869A4D223B07B6CA
SHA-256	2FE1F006F4FEF271C656895C07B1D179EFFA721FAE2D3D2DE316EC8638222748

Key	Value
MD5	7D24B3EAE22C280E93C1F6299B8466AC
PackageArch	s390x
PackageDescription	PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageName	python2-tables
PackageRelease	9.5
PackageVersion	3.4.4
SHA-1	FD14B427D128CDEA00754BE187AE9407934EDA83
SHA-256	F6CF5A5D37FA4D209AD9F10044E03DB14A142CF68EA5EA3FB3FD775876529AE1