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 <header>
  <title>pg/python introduction</title>
  <meta name="description">The pg/python Project Home Page</meta>
  <meta name="keywords">postgres, postgresql, python, python interface,
  procedural language, pgpy, pypg, plpy, plpython, pl/python, backend,
  frontend, db-api, db-api 2.0, postgresql bindings, postgrespy, pg/python,
  postgresql client</meta>
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 <body>
  <p>pg/python is an open source project working toward the improvement of 
  <link href="ext:py">Python</link>interfaces to 
  <link href="ext:pg">PostgreSQL</link>.</p>
  <section>
   <title>Driver Overview</title>
   <p>
    To install the driver, you should probably just use setuptools' easy_install:
    <code>$ easy_install pg_proboscis</code>. If that is not an option, you can
    download the source packages in the <link href="files/">Download
    Index</link>(You'll need one of each. :). A unified
    package may come eventually, if demand for such is expressed.
   </p>
   <p>
    If you are just using the DB-API 2.0 interface, the module's path is
    <code>postgresql.interface.proboscis.dbapi2</code>.
   </p>
   <p>
    For documentation on connecting with GreenTrunk:
     <link href="doc/pg_proboscis-1.0.html">Connecting</link>.
    For documentation on using the GreenTrunk connection:
     <link href="doc/pg_greentrunk-1.0.html">Connection API</link>(Also accessible via
     the pg_greentrunk command.).
   </p>
  </section>
  <section>
   <title>Projects</title>
   <dl>
    <dt><b>Programmer's Client/Driver</b></dt>
    <dd><link href="project/pg_proboscis.html">pg_proboscis</link> -
    Provides a DB-API 2.0 and GreenTrunk interface to PostgreSQL.</dd>
    <dt><b>Procedural Language</b></dt>
    <dd><link href="project/pg_teop.html">pg_teop</link> -
    In development.</dd>
    <dt><b>Remote Backend Console</b></dt>
    <dd><link href="project/pg_slythe.html">pg_slythe</link> -
    In development.</dd>
    <dt><b>PostgreSQL Cluster Management</b></dt>
    <dd><link href="project/pg_boss.html">pg_boss</link> -
    Create, configure, and control PostgreSQL clusters from Python.</dd>
   </dl>
  </section>
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