Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/tables/linkextension.arm-linux-gnueabihf.so |
FileSize | 48600 |
MD5 | 22840428779143245902282D09C2E1DB |
SHA-1 | 502566E675BD0062D4428B03E74D06E0C04D2A97 |
SHA-256 | 505CF142D75137B5DD16FC50D4BF84A4D0DA117D2B5E13F429565AB18B1D90AD |
SSDEEP | 768:5TwNu1bRZVJxkqVHZZAmXAZKr6g3lvEh0RW5rAZAMRJD/lTLTy8hqTLNAvH4HMDv:5823FVHZZ0ZKr6mEhR5k7JzxL/Q0YU |
TLSH | T160236CE5F2878833D58EDAB1B9D24E49CB16D01D36D30B6F02D10794FEC52AA8E36494 |
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 | 378844 |
MD5 | 153A17FDB37F8DCCE1E5EB956460C93F |
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 | 279BE0390F83A22D3F81FD5BF492BA28D038A027 |
SHA-256 | B56ED36D43CB8FB75DA29EC3546C758D7EF9A07CC81282DDDE5B57B5C19155B1 |