Ubuntu
pytables package

pytables 3.7.0-2build1 source package in Ubuntu

Changelog

pytables (3.7.0-2build1) jammy; urgency=medium

  * No-change rebuild with Python 3.10 only

 -- Graham Inggs <email address hidden>  Wed, 16 Mar 2022 23:51:30 +0000

Upload details

Uploaded by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Jammy release universe python

Downloads

File Size SHA-256 Checksum
pytables_3.7.0.orig.tar.gz 3.4 MiB 41065fc11b958dde09bd5b9c069d88e40ca07ad10687dd597835fcc8199e81ea
pytables_3.7.0-2build1.debian.tar.xz 18.4 KiB 85dae2d47855a933bb220df05acec491028e89891700f6f4bd6f856679e30733
pytables_3.7.0-2build1.dsc 2.7 KiB 3828c2fa5d895b56d363574ec0a4d8585d6fbe7c8224cdc8761a39fcd0ca1a44

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Binary packages built by this source

python-tables-data: No summary available for python-tables-data in ubuntu kinetic.

No description available for python-tables-data in ubuntu kinetic.

python-tables-doc: hierarchical database for Python based on HDF5 - documentation

 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 includes the manual in PDF and HTML formats.

python3-tables: No summary available for python3-tables in ubuntu kinetic.

No description available for python3-tables in ubuntu kinetic.

python3-tables-lib: hierarchical database for Python3 based on HDF5 (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 interpreter.

python3-tables-lib-dbgsym: debug symbols for python3-tables-lib