Package: python3-tables-dbg
Source: pytables
Version: 3.4.2-4
Architecture: i386
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size: 8255
Depends: python3-numpy (>= 1:1.13.1), python3-numpy-abi9, python3-dbg (<< 3.7), python3-dbg (>= 3.6~), python3-dbg:any (>= 3.2~), libblosc1 (>= 1.9.0), libbz2-1.0, libc6 (>= 2.4), libhdf5-100, liblzo2-2, python3-tables (= 3.4.2-4), python3-tables-lib (= 3.4.2-4), python3-numpy-dbg, python3-numexpr-dbg
Suggests: python-tables-doc, python3-netcdf4
Section: debug
Priority: optional
Homepage: http://www.pytables.org
Description: hierarchical database for Python 3 based on HDF5 (debug extension)
 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 contains the extension built for the Python 3 debug interpreter.
Build-Ids: 1089bad117cf6f68271344f0a6017026ed53cd2a 1acf791463bb4d4e8c95b32aabaf823d6cf4a57d 30eda0b1ed62434ded61505bb01ae3915f92472a 3bfa54983740c8cadf15a36feb9dadd7eedeb82e 41d7c23e45e5938152e25ce6d1a83753f5e3a65c 82869de014c57271b517085aa901f112cff4e393 ae01d4faa941521be9e1cfa0e67b9b2ae1c2ec31 e9612c7f8618b78de5765e27966281964a8cece6
