Ubuntu
sqlalchemy package

sqlalchemy 0.7.2-1 source package in Ubuntu

Changelog

sqlalchemy (0.7.2-1) unstable; urgency=low

  * New upstream release
  * Bump minimum required python-mako version to 0.4.1 (closes: 635898)

sqlalchemy (0.7.1-1) experimental; urgency=low

  * New upstream release
 -- Ubuntu Archive Auto-Sync <email address hidden>   Mon,  17 Oct 2011 15:36:08 +0000

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Uploaded by:
Ubuntu Archive Auto-Sync
Uploaded to:
Precise
Original maintainer:
Piotr Ożarowski
Architectures:
any
Section:
python
Urgency:
Low Urgency

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File Size SHA-256 Checksum
sqlalchemy_0.7.2.orig.tar.gz 2.3 MiB b58805ca9f8f5123e609f253a916e87a1e3eac446a0aae128ede630485c8f406
sqlalchemy_0.7.2-1.debian.tar.gz 9.6 KiB f4d71f9e4ea4b2ee6ec690755f578da169340f4b4933a86d215fd346854ccf1f
sqlalchemy_0.7.2-1.dsc 2.1 KiB 1d9f1bbf2caba7ffc79b35234a40ff66c659a7223268076c0ad9ab33e35b2962

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Binary packages built by this source

python-sqlalchemy: SQL toolkit and Object Relational Mapper for Python

 SQLAlchemy is an SQL database abstraction library for Python.
 Its strengths are:
  * full power and flexibility of SQL. SQLAlchemy provides a full suite
    of well known enterprise-level persistence patterns, designed for
    efficient and high-performing database access, adapted into a simple
    and Pythonic domain language.
  * extremely easy to use for all the basic tasks, such as: accessing pooled
    connections, constructing SQL from Python expressions, finding object
    instances, and committing object modifications back to the database.
  * powerful enough for complicated tasks, such as: eager load a graph of
    objects and their dependencies via joins; map recursive adjacency
    structures automatically; map objects to not just tables but to any
    arbitrary join or select statement; combine multiple tables together to
    load whole sets of otherwise unrelated objects from a single result set;
    commit entire graphs of object changes in one step.
  * built to conform to what DBAs demand, including the ability to swap out
    generated SQL with hand-optimized statements, full usage of bind parameters
    for all literal values, fully transactionalized and consistent updates
    using Unit of Work.
  * modular. Different parts of SQLAlchemy can be used independently of the
    rest, including the connection pool, SQL construction, and ORM. SQLAlchemy
    is constructed in an open style that allows plenty of customization, with
    an architecture that supports custom datatypes, custom SQL extensions, and
    ORM plugins which can augment or extend mapping functionality.

python-sqlalchemy-doc: documentation for the SQLAlchemy Python library

 SQLAlchemy is an SQL database abstraction library for Python.
 .
 This package contains the documentation for SQLAlchemy in HTML format.
 It's usable as a comprehensive reference, a user guide and a tutorial
 all-in-one.

python-sqlalchemy-ext: SQL toolkit and Object Relational Mapper for Python - C extension

 SQLAlchemy is an SQL database abstraction library for Python.
 .
 This package contains C coded extension accelerator for SQLAlchemy.

python3-sqlalchemy: SQL toolkit and Object Relational Mapper for Python 3

 SQLAlchemy is an SQL database abstraction library for Python.
 Its strengths are:
  * full power and flexibility of SQL. SQLAlchemy provides a full suite
    of well known enterprise-level persistence patterns, designed for
    efficient and high-performing database access, adapted into a simple
    and Pythonic domain language.
  * extremely easy to use for all the basic tasks, such as: accessing pooled
    connections, constructing SQL from Python expressions, finding object
    instances, and committing object modifications back to the database.
  * powerful enough for complicated tasks, such as: eager load a graph of
    objects and their dependencies via joins; map recursive adjacency
    structures automatically; map objects to not just tables but to any
    arbitrary join or select statement; combine multiple tables together to
    load whole sets of otherwise unrelated objects from a single result set;
    commit entire graphs of object changes in one step.
  * built to conform to what DBAs demand, including the ability to swap out
    generated SQL with hand-optimized statements, full usage of bind parameters
    for all literal values, fully transactionalized and consistent updates
    using Unit of Work.
  * modular. Different parts of SQLAlchemy can be used independently of the
    rest, including the connection pool, SQL construction, and ORM. SQLAlchemy
    is constructed in an open style that allows plenty of customization, with
    an architecture that supports custom datatypes, custom SQL extensions, and
    ORM plugins which can augment or extend mapping functionality.