Parents (Total: 18)

The searched file hash is included in 18 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	A6711D40935A0498DCB38CCCA50EA596
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	lp150.1.1
PackageVersion	3.4.3
SHA-1	2745858E209021A917301F734B2E2849A27A343F
SHA-256	513BFBF8B63E50501936140C6A2D3C578F0F8BD43FE42DDB16AA792BFBA18BE5

Key	Value
MD5	786A3B4DAACF73D0F57F60257AE5261B
PackageArch	aarch64
PackageDescription	PyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainer	daviddavid <daviddavid>
PackageName	python3-tables
PackageRelease	4.mga7
PackageVersion	3.4.4
SHA-1	7C6ED5E3685AE063DE05F97DFA83763D7A943E1E
SHA-256	3015665056494DD6D58B40CAAD5099FEFE1148C2E3C7CB65A9E44B830F2E659F

Key	Value
MD5	879F5C7E8700543CD8AE98E43353DB56
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	lp150.1.1
PackageVersion	3.4.3
SHA-1	86302340312D2CA81BE3C1978D9C39094F5F96B1
SHA-256	C659FC2AF96B8B3B7152174C1BF1667D96BC9756FEED3980EEFC7F954DD320B8

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	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
FileSize	342076
MD5	3A31C4654BABB131613304C443D828D4
PackageDescription	hierarchical database for Python3 based on HDF5 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 is the Python 3 version of the package.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-tables
PackageSection	python
PackageVersion	3.4.4-2
SHA-1	9070C5B233FA1F038A37ACDD2D983E5BDDED6512
SHA-256	B3C0F63F004170608D366B5A64C0D996E2E7CD32B4DF9C28349A95718013704D

Key	Value
MD5	CD08099E2E87979E271133DE4CFE7685
PackageArch	armv7hl
PackageDescription	PyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainer	daviddavid <daviddavid>
PackageName	python3-tables
PackageRelease	4.mga7
PackageVersion	3.4.4
SHA-1	B8971A1A1885CED5055EDFEDBA949825CA0E7C5F
SHA-256	31963E992D370B9579380839E8B9C48022D00F996F1A786FF715485E7C982DD5

Key	Value
MD5	3B2002660F2CA0CC4221AF85BF3F3D76
PackageArch	armv7hl
PackageDescription	PyTables is a Python 2 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainer	daviddavid <daviddavid>
PackageName	python2-tables
PackageRelease	4.mga7
PackageVersion	3.4.4
SHA-1	BAD8F0A03D164A38246005A3AD4DD5145E803C64
SHA-256	B6FCF94387318EEA5BB05B3BA570888AB62DD28B0F9C0C70F451F1530D50A6B5

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
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