Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/tables/tableextension.mips-linux-gnu.so |
FileSize | 324196 |
MD5 | 6BEAFE629B7C895E8FAB8BC352A20A56 |
SHA-1 | 318000B4548B9D1D896793CFAD157EA6F23B59B6 |
SHA-256 | 71F7CECC72304CA1F404E9FA315CCF2E83C35D92650F39D9280BF405E3B46620 |
SSDEEP | 6144:5JxckR4bqN43efRC0ldthlJh/533M+uTcMAuw9pqTxufRaBbOd3YwyICecDDJqxD:zukR4bqN1JCmJB533M+uTcMAuw9pqTxe |
TLSH | T1C764F7123B71CF1CF150DAB018A3AEFB773451A338D481AA92DDE56CBDC1A193E47A25 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 316052 |
MD5 | F93228217C70404F5E92CE22FBD908B4 |
PackageDescription | hierarchical database for Python based on HDF5 (extension) 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 package contains the extension built for the Python 2 interpreter. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-tables-lib |
PackageSection | python |
PackageVersion | 3.3.0-5 |
SHA-1 | 1FB80B76730D0BCDA2B828AD396FF4DCBE0FBECC |
SHA-256 | 32AA4600D936AB8F04DC4640AA6D29B21D92364FC264D78C9A957903E9801873 |