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    <p>To use a dict for inserts, you are looking for a DB driver that supports the <a href="http://www.python.org/dev/peps/pep-0249/" rel="nofollow noreferrer">"named" (placeholder) paramstyle</a> (in the link, search for "paramstyle"):</p> <p>From the <a href="http://docs.python.org/library/sqlite3.html#module-sqlite3" rel="nofollow noreferrer">sqlite3 docs</a>:</p> <pre><code>import sqlite3 con = sqlite3.connect("mydb") cur = con.cursor() who = "Yeltsin" age = 72 cur.execute("select name_last, age from people where name_last=:who and age=:age", {"who": who, "age": age}) print cur.fetchone() </code></pre> <p>Unfortunately for MySQL, the two main drivers, <a href="http://mysql-python.sourceforge.net/MySQLdb.html" rel="nofollow noreferrer">MySQLdb</a> and <a href="http://packages.python.org/oursql/" rel="nofollow noreferrer">oursql</a> do not support the "named" paramstyle. MySQLdb uses the "format" paramstyle (using '%s') and oursql uses the "qmark" paramstyle (using '?'). Both these paramstyles require you to supply a <code>list</code> rather than a <code>dict</code> of args:</p> <pre><code>x={'bar':1.0,'baz':2.0} sql='INSERT INTO foo (bar,baz) VALUES (?,?)' cur.execute(sql,[x['bar'],x['baz']]) </code></pre> <p>By the way, if you need a driver to connect with MySQL, use <a href="http://packages.python.org/oursql/" rel="nofollow noreferrer">oursql</a>. MySQLdb has historically been the go-to driver for Python-MySQL interaction, but that driver uses <strong>regex</strong> to manipulate your SQL and arguments into one quoted string which is then sent to MySQL. In contrast, oursql uses prepared statements, sends the SQL and the arguments separately, <a href="http://packages.python.org/oursql/tutorial.html#parameterization" rel="nofollow noreferrer">eschewing the need for escaping data</a>. The oursql way is the right way, and avoids <a href="https://stackoverflow.com/questions/4879606/including-db-function-calls-in-python-mysqldb-executemany/4880198#4880198">certain bugs</a> that plagues MySQLdb.</p>
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    1. CONice, I had no idea that there is finally an alternative to MySQLdb. It has become more of a hassle with each new Python version.
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