Parents (Total: 23)

The searched file hash is included in 23 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
FileSize	324596
MD5	9AF3480B7FC56839E2B1F5BD36998233
PackageDescription	hierarchical database for Python 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 2 version of the package.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-tables
PackageSection	python
PackageVersion	3.4.2-4
SHA-1	5861A0EC8CDA16EA609C91674308E8ABB2E4B350
SHA-256	D2C765B3D0A826CD8620FAC8462080BE63890979CD540DA11221601B6510CFE6

Key	Value
FileSize	331182
MD5	DED9C0AEB49EF7B5002C7FDA6D371FA3
PackageDescription	hierarchical database for Python3 based on HDF5 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. . - 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, Numeric and numarray 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	3.3.0-5
SHA-1	594CD9D1FE8D5523B3DE704DF76C5093AE0E40DA
SHA-256	40EB388132551194AE620ED88EACB65E700EBB85A975300E09D041A45DA70B98

Key	Value
FileSize	341310
MD5	EBDCD62CF323B3107E5475F0DE8DF1EA
PackageDescription	hierarchical database for Python based on HDF5 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. . - 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, Numeric and numarray objects. . This is the Python 2 version of the package.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-tables
PackageSection	python
PackageVersion	3.3.0-5
SHA-1	77CF76FCF930C9BB6ABA6CCE377EC2418AE37181
SHA-256	FD0DB23E473B8DEA620EB82E55BD64D7B70D51FC39A48787789F7556FB1FBAEB

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