Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	E0C4BE75537F41FC82E6683767C47A70
PackageArch	s390x
PackageDescription	Documentation and help files for python-tables
PackageName	python-tables-doc
PackageRelease	9.5
PackageVersion	3.4.4
SHA-1	01189FF6101A3AC3B02731F39FD2F4109CFAC31B
SHA-256	1A996B491E00A4A3C7842C92CEF7C07E5929A826F836AD1DC281D97C56DB1E60

Key	Value
MD5	8D6C1E63B3D13E13E06D14C8705441B4
PackageArch	noarch
PackageDescription	The python-tables-doc package contains the documentation related to PyTables.
PackageMaintainer	daviddavid <daviddavid>
PackageName	python-tables-doc
PackageRelease	4.mga7
PackageVersion	3.4.4
SHA-1	C897A112924AE10E0CAF5FD1861DB966941CE318
SHA-256	D866679E5B79746F5123B174D418138080D652ED16EA7CD12BEB5D45CADA0CDA

Key	Value
MD5	23298D8499BD48BF6A92A77B672AEFAB
PackageArch	x86_64
PackageDescription	Documentation and help files for python-tables
PackageName	python-tables-doc
PackageRelease	lp150.4.7
PackageVersion	3.4.4
SHA-1	596DA613A6F78A4BDE4BB7B6AC601E6DF316CD1C
SHA-256	112B664B8B847E98FDEDBD823B38C355E09637E7B9C050142A89DBAA88E48F10

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	31B8A9D6BCC0233B2519DA5ECC15F3B0
PackageArch	x86_64
PackageDescription	Documentation and help files for python-tables
PackageMaintainer	https://bugs.opensuse.org
PackageName	python-tables-doc
PackageRelease	lp151.2.2
PackageVersion	3.4.4
SHA-1	7AC916ADDBB0CC3C62D73A227DA20AAFE06F146E
SHA-256	2DECA34501A9709A877A6CABB81DF2E5ED479D4E1FF1B6508716D75A0F58083D

Key	Value
MD5	389BF5083A5585B482FE18B64E3B00AF
PackageArch	x86_64
PackageDescription	Documentation and help files for python-tables
PackageMaintainer	https://bugs.opensuse.org
PackageName	python-tables-doc
PackageRelease	lp150.1.1
PackageVersion	3.4.3
SHA-1	3DAA681FCC0D9489E319EA907F61EA100CCD4F0A
SHA-256	AE46752D3D41BB621B92A76C0104272D3698474780D79D53717BAB13ADC9C2C3