storm 0.19-1 source package in Ubuntu

Changelog

storm (0.19-1) unstable; urgency=low

  * New upstream release.
  * Update copyright dates.
 -- Ubuntu Archive Auto-Sync <email address hidden>   Thu,  24 Nov 2011 13:21:34 +0000

Upload details

Uploaded by:
Ubuntu Archive Auto-Sync on 2011-11-24
Uploaded to:
Precise
Original maintainer:
Debian Python Modules Team
Architectures:
any
Section:
devel
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release on 2015-10-22 universe devel
Trusty release on 2013-10-18 universe devel
Precise release on 2011-11-24 universe devel

Downloads

File Size SHA-256 Checksum
storm_0.19.orig.tar.bz2 193.5 KiB 4cfba23256d143e23f7646d30ca83d9e56f228036634824b12854a7dfd8ce429
storm_0.19-1.debian.tar.gz 6.8 KiB 7dde2a661883749c91d61fbff1ae6e6cbc10667ed0d30158694244e2c071490f
storm_0.19-1.dsc 1.4 KiB 3d51f640df795f70aae86cb34af2cb0c78db55108ab9d320836a83db0e91fc9a

Available diffs

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Binary packages built by this source

python-storm: No summary available for python-storm in ubuntu raring.

No description available for python-storm in ubuntu raring.

python-storm-dbg: object-relational mapper (ORM) for Python - debugging files

 Storm is an object-relation mapper (ORM) for the Python language. In
 simple terms, that kind of system allows rows from a relational
 database to be seen as objects in an object-oriented language like
 Python.
 .
 Features:
  * Clean and lightweight API offers a short learning curve and long-
    erm maintainability.
  * Storm is developed in a test-driven manner. An untested line of
    code is considered a bug.
  * Storm needs no special class constructors, nor imperative base
    classes.
  * Storm is well designed (different classes have very clear
    boundaries, with small and clean public APIs).
  * Designed from day one to work both with thin relational databases,
    such as SQLite, and big iron systems like PostgreSQL and MySQL.
  * Storm is easy to debug, since its code is written with a KISS
    principle, and thus is easy to understand.
  * Designed from day one to work both at the low end, with trivial
    small databases, and the high end, with applications accessing
    billion row tables and committing to multiple database backends.
  * It's very easy to write and support backends for Storm (current
    backends have around 100 lines of code).
 .
 This package contains the extension built for the Python debug interpreter.