Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/tables/linkextension.cpython-35m-mips64el-linux-gnuabi64.so |
FileSize | 69760 |
MD5 | 39FCA0227B6F7E401B2A60720BE58381 |
SHA-1 | 665210630F5264AD7BD04BB8AA5F86DD5FDF54B1 |
SHA-256 | 839B3EDBE6DF640E1E749C0D723CD91C9B9438A8159D809D01FC50E9A6BEB2FD |
SSDEEP | 768:K5sZaNiA60zL7TrbGpyuCo5m2DmTHFx+GRDR1JJpnaRuGb5IGpN4F/wjnpelN6Zz:Ka/8zL7Trb2oRDZJpOI/w8gwMwgIwYo |
TLSH | T1BA63D7D25B460EA2D5C68DB78A2D927A377D1CEA237147628DEC55745F0B8CE0FC2C0A |
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 | 305012 |
MD5 | 8D037F0E0BC638662189AA572405CC03 |
PackageDescription | hierarchical database for Python3 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 3 interpreter. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-tables-lib |
PackageSection | python |
PackageVersion | 3.3.0-5 |
SHA-1 | 22CEEC47EE15C72E18FF7932B8B45C0923FB2651 |
SHA-256 | 5099DA4DC13DDB98F72EED882E6C8F6F5226BAA0A6569B0C0421878B9FCE48FD |