Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

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	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
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