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    <p>Nope. You need to reproject your points, and geopy isn't going to do that for you.</p> <p>What you need is <a href="http://www.gdal.org/" rel="nofollow noreferrer">libgdal</a> and some Python bindings. I always use the bindings in GeoDjango, but there are <a href="http://trac.osgeo.org/gdal/wiki/GdalOgrInPython" rel="nofollow noreferrer">other alternatives</a>.</p> <p><strong>EDIT</strong>: It is just a mathematical formula, but it's non-trivial. There are thousands of different ways to represent the surface of the Earth. See <a href="http://spatialreference.org/" rel="nofollow noreferrer">here</a> for a huge but incomplete list.</p> <p>There are two parts to a <a href="http://en.wikipedia.org/wiki/Map_projection" rel="nofollow noreferrer">geographic projection</a> of the Earth-- a <a href="http://en.wikipedia.org/wiki/Geographic_coordinate_system" rel="nofollow noreferrer">coordinate system</a> and a <a href="http://geography.about.com/od/geographyintern/a/datums.htm" rel="nofollow noreferrer">datum</a>. The latter is essentially a three-dimensional model of the planet. When you say you want to convert latitude/longitude points to UTM values, you're missing a couple of pieces of the puzzle.</p> <p>Let's assume that your lat/long points are based on the <a href="http://en.wikipedia.org/wiki/World_Geodetic_System" rel="nofollow noreferrer">WGS84 datum</a>, because that's a pretty common standard for lat/long points these days. You want to convert those points to a UTM coordinate system. But to which UTM coordinate system? There are <a href="http://en.wikipedia.org/wiki/Universal_Transverse_Mercator_coordinate_system" rel="nofollow noreferrer">60 of them</a>. </p>
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