dsc_fields:
Architecture: all amd64 arm64 armel armhf i386 ppc64el riscv64 loong64 m68k sh4
Binary: python3-tables, python3-tables-lib, python-tables-doc, python-tables-data
Build-Depends: cython3, debhelper-compat (= 13), dh-python, dh-sequence-numpy3,
dh-sequence-python3, dh-sequence-sphinxdoc, libblosc-dev, libblosc2-dev, libbz2-dev,
libhdf5-dev, libjs-jquery-cookie <!nodoc>, libjs-mathjax <!nodoc>, liblz4-dev,
liblzo2-dev, libsnappy-dev, libzstd-dev, pybuild-plugin-pyproject, python3-all-dev,
python3-cpuinfo, python3-ipython <!nodoc>, python3-numexpr (>= 2.8.7), python3-numpy,
python3-packaging, python3-sphinx <!nodoc>, python3-sphinx-rtd-theme <!nodoc>,
python3-setuptools, zlib1g-dev
Checksums-Sha1:
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sha1: 9178fd0d63d373273d890dfc91fc97472cedff69
size: '4779722'
- name: pytables_3.10.2-1.debian.tar.xz
sha1: 74ad64323f698ca3c1967d212da0fa25b9801455
size: '19884'
Checksums-Sha256:
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- name: pytables_3.10.2-1.debian.tar.xz
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size: '19884'
Description: |-
Hierarchical database for Python3 based on HDF5
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.
Files:
- md5sum: d644b095f9756430a725c7c9da125710
name: pytables_3.10.2.orig.tar.gz
size: '4779722'
- md5sum: 8c5851f548b7b3de4a04d06bcce63f9f
name: pytables_3.10.2-1.debian.tar.xz
size: '19884'
Format: 3.0 (quilt)
Homepage: https://www.pytables.org
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Package-List: |2-
python-tables-data deb python optional arch=all
python-tables-doc deb doc optional arch=all
python3-tables deb python optional arch=all
python3-tables-lib deb python optional arch=amd64,arm64,armel,armhf,i386,ppc64el,riscv64,loong64,m68k,sh4
Source: pytables
Standards-Version: 4.7.0
Testsuite: autopkgtest-pkg-pybuild
Uploaders: Antonio Valentino <antonio.valentino@tiscali.it>, Yaroslav Halchenko
<debian@onerussian.com>
Vcs-Browser: https://salsa.debian.org/science-team/pytables
Vcs-Git: https://salsa.debian.org/science-team/pytables.git
Version: 3.10.2-1
name: pytables
type: dpkg
version: 3.10.2-1