Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

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	330688
MD5	F1AEAB15AE05388F87E871501C21216C
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-tables
PackageSection	python
PackageVersion	3.4.2-4
SHA-1	BE4E69D800DF429D8F7223B5C4A7B92FFEFAC748
SHA-256	5F3F0B2E2F8B392FCAFC9449C80A8AD6369AB31DF164B797D2C00BCDC52DAFB3

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
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
MD5	71AFD60E3F4B3310827C45F15271CB38
PackageArch	x86_64
PackageDescription	PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. This is the version for Python 2.
PackageMaintainer	CBS <cbs@centos.org>
PackageName	python2-tables
PackageRelease	4.el7
PackageVersion	3.3.0
SHA-1	E9207DA1A410FCA296C2A3408B482BCB00A0B53D
SHA-256	E7F453CB6CA9359D976CAA95F1C0F5BDDEAFA5D0A132B4DF5EDACF989FE0FA90