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  <div class="vevent h-event"> <h1 class="summary p-name">PDX Python and Pyladies PDX Present Monthly Presentation Night</h1> <div class='date'><time class="dtstart dt-start" title="2019-10-24T18:30:00" datetime="2019-10-24T18:30:00">Thursday, October 24, 2019 from 6:30</time>–<time class="dtend dt-end" title="2019-10-24T20:30:00" datetime="2019-10-24T20:30:00">8:30pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202392091'><span class='fn org p-name'>New Relic</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">111 SW 5th Avenue, Suite 2700</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">Oregon</span> <span class="postal-code p-postal-code">97204</span> <div class="country-name p-country-name">United States</div> (<a href='https://maps.google.com/maps?q=111%20SW%205th%20Avenue,%20Suite%202700,%20Portland%20Oregon%2097204%20United%20States'>map</a>) </div> </div> <div class="description p-description"> <p>Come join us for Pythonic Talks!</p> <p>This month:</p> <ul> <li>GeoPy and RadInterp: Creative climate data analysis with Python by Dmitri Kalashnikov</li> </ul> <p>Dmitri is a Masters student in the Climate Science Lab at Portland State University, a NASA-funded researcher, and a recent convert to the Python language and ecosystem. In this talk you'll learn about alternative tooling available in Python for analysis of climate data, becoming a Python programmer, and most importantly - having fun doing it!</p> <p>Plus, LIghtning Talks....</p> <p>Join us afterward at Bailey's Upper Lip 720 SW Ankeny St, Portland, OR 97205 to continue the discussion over a beverage.</p> <p>Do you have something you'd like to share? Email us (<a href="mailto:info@pdxpython.io">info@pdxpython.io</a>).</p> <p>Join us on our Slack and on #pdxpython on Freenode. All are welcome!</p> <p>PDX Python on Twitter (<a href="http://twitter.com/pdxpython">http://twitter.com/pdxpython</a>)</p> <p>Portland Python Web Site (<a href="http://pdxpython.io/">http://pdxpython.io/</a>)</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://www.pdxpython.io">Website</a></li> </ul> </div>