Date: Mon, 04 May 2015 08:00:00 -0400
<p>For show notes and other content, visit our site at <a href="http://www.pythonpodcast.com?utm_source=rss&utm_medium=rss">http://www.pythonpodcast.com?utm_source=rss&utm_medium=rss</a></p> <h3>Brief Introduction</h3> <ul> <li>Date of recording – Apr 28th 2015</li> <li>Hosts – Tobias Macey and Chris Patti</li> <li>Overview – Interview with Travis Oliphant</li> </ul> <h3>Interview with Travis Oliphant</h3> <ul> <li>Introductions</li> <li>How did you get introduced to Python?</li> <li>I’m curious what inspired you to create NumPy and SciPy?</li> <li>Why did you choose Python for those libraries? <ul> <li>Numeric, <a href="http://hugunin.net/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Jim Hugunin</a></li> <li>Morphology library in NumArray</li> </ul> </li> <li>For those of us who aren’t in the know, can you provide a brief definition of what data science is and how you got involved in it? <ul> <li>Term coined by <a href="http://en.wikipedia.org/wiki/DJ_Patil?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">DJ Patil</a></li> <li>Answer: Anybody who takes data and tries to derive insights from it</li> <li>Nobody really knows what this means <img alt="🙂" class="wp-smiley" src="https://s.w.org/images/core/emoji/14.0.0/72x72/1f642.png?utm_source=rss&utm_medium=rss" style="height: 1em;" /></li> </ul> </li> <li>Can you tell us the story of how <a href="http://continuum.io/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Continuum Analytics</a> came to be?</li> <li>What are some interesting projects that you have worked on with Continuum Analytics? <ul> <li><a href="http://bokeh.pydata.org/en/latest/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Bokeh</a></li> <li><a href="http://continuum.io/wakari?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Wakari</a></li> <li><a href="https://store.continuum.io/cshop/anaconda/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Anaconda</a></li> <li><a href="http://numba.pydata.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Numba</a></li> <li><a href="http://blaze.pydata.org/en/latest/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Blaze</a></li> </ul> </li> <li>Can you explain a bit about what <a href="http://numfocus.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">NumFocus</a> is and how it got started?</li> <li>How can our audience get involved with <a href="http://numfocus.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">NumFocus</a>?</li> <li>For someone just starting out in the data science and data analytics space, what advice would you give? <ul> <li>Download Anaconda, learn as much Python as you can</li> <li>Google search “Data Analysis in Python”</li> <li>iPython Notebooks in data analysis</li> <li>R community</li> <li>Meetups</li> <li>Online classes</li> <li>R Community can be helpful</li> </ul> </li> <li>Of your myriad achievements, what are you most proud of?</li> </ul> <h3>Picks</h3> <ul> <li>Tobias <ul> <li>Used bookstores <ul> <li><a href="http://www.bookbarnniantic.com/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">The Book Barn</a></li> </ul> </li> <li><a href="http://www.imdb.com/title/tt0844471/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Cloudy with a Chance of Meatballs</a></li> <li><a href="http://www.imdb.com/title/tt0772178/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Kickin’ it Old School</a></li> </ul> </li> <li>Chris <ul> <li><a href="http://en.wikipedia.org/wiki/The_Kids_in_the_Hall?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Kids In The Hall</a></li> <li><a href="http://www.mfa.org/programs/series/art-bloom?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">MFA Boston Art in Bloom</a></li> <li><a href="http://www.codenewbie.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">CodeNewbies</a></li> <li><a href="https://www.apple.com/imac-with-retina/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Apple 27″ Retina iMac 5K</a></li> </ul> </li> <li>Travis Oliphant <ul> <li><a href="http://datacarpentry.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Data Carpentry</a> <ul> <li>Tracy Teal (<a href="http://twitter.com/tracykteal?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">@tracykteal</a>)</li> <li>Patterned on <a href="https://software-carpentry.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Software Carpentry</a></li> </ul> </li> <li><a href="http://brainsciencepodcast.com/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Brain Science Podcast – Ginger Campbell, MD</a></li> <li><a href="https://mises.org/library/money-bank-credit-and-economic-cycles?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Money, Bank Credit and Economic Cycles</a></li> </ul> </li> <li>Travis Contacts <ul> <li>Twitter: <ul> <li>Travis – <a href="https://twitter.com/teoliphant?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">@teoliphant</a></li> <li>NumFocus – <a href="https://twitter.com/numfocus?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">@numfocus</a></li> <li>Continuum Analytics – <a href="https://twitter.com/continuumio?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">@ContinuumIO</a></li> </ul> </li> </ul> </li> </ul> <p>The intro and outro music is from Requiem for a Fish <a href="http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">The Freak Fandango Orchestra</a> / <a href="http://creativecommons.org/licenses/by-sa/3.0/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">CC BY-SA</a><img alt="" height="0" src="https://analytics.boundlessnotions.com/piwik.php?idsite=1&rec=1&url=https%3A%2F%2Fwww.pythonpodcast.com%2Fepisode-4-travis-oliphant%2F&action_name=Travis+Oliphant+-+Episode+4&urlref=https%3A%2F%2Fwww.pythonpodcast.com%2Ffeed%2F&utm_source=rss&utm_medium=rss" style="border: 0; width: 0; height: 0;" width="0" /></p>