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