Docs front page adjustments

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Daniele Varrazzo 2012-10-07 02:07:47 +01:00
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@ -4,12 +4,13 @@ Psycopg -- PostgreSQL database adapter for Python
.. sectionauthor:: Daniele Varrazzo <daniele.varrazzo@gmail.com>
Psycopg_ is a PostgreSQL_ database adapter for the Python_ programming
language. Its main features are that it supports the full Python |DBAPI|_
and it is thread safe (threads can share the connections). It was designed for
heavily multi-threaded applications that create and destroy lots of cursors and
make a large number of concurrent :sql:`INSERT`\ s or :sql:`UPDATE`\ s.
The Psycopg distribution includes ZPsycopgDA, a Zope_ Database Adapter.
Psycopg_ is the most popular PostgreSQL_ database adapter for the Python_
programming language. Its main features are the complete implementation of
the Python |DBAPI|_ specification and the thread safety (several threads can
share the same connection). It was designed for heavily multi-threaded
applications that create and destroy lots of cursors and make a large number
of concurrent :sql:`INSERT`\s or :sql:`UPDATE`\s. The Psycopg distribution
includes ZPsycopgDA, a Zope_ Database Adapter.
Psycopg 2 is mostly implemented in C as a libpq_ wrapper, resulting in being
both efficient and secure. It features client-side and :ref:`server-side
@ -18,12 +19,13 @@ both efficient and secure. It features client-side and :ref:`server-side
support, and a flexible :ref:`objects adaptation system
<python-types-adaptation>`. Many basic Python types are supported
out-of-the-box and mapped to matching PostgreSQL data types, such as strings
(both bytes and Unicode), numbers (ints, longs, floats, decimals), booleans and
datetime objects (both built-in and `mx.DateTime`_), several types of
:ref:`binary objects <adapt-binary>`. Also available are mappings between lists
and PostgreSQL arrays of any supported type, between :ref:`dictionaries and
PostgreSQL hstores <adapt-hstore>`, and between :ref:`tuples/namedtuples and
PostgreSQL composite types <adapt-composite>`.
(both byte strings and Unicode), numbers (ints, longs, floats, decimals),
booleans and date/time objects (both built-in and `mx.DateTime`_), several
types of :ref:`binary objects <adapt-binary>`. Also available are mappings
between lists and PostgreSQL arrays of any supported type, between
:ref:`dictionaries and PostgreSQL hstore <adapt-hstore>`, between
:ref:`tuples/namedtuples and PostgreSQL composite types <adapt-composite>`,
and between Python objects and :ref:`JSON <adapt-json>`.
Psycopg 2 is both Unicode and Python 3 friendly.