#224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming

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<p>Travis Oliphant is a data scientist, entrepreneur, and creator of NumPy, SciPy, and Anaconda. Please support this podcast by checking out our sponsors:<br /> &#8211; <b>Novo</b>: <a href="https://banknovo.com/lex">https://banknovo.com/lex</a><br /> &#8211; <b>Allform</b>: <a href="https://allform.com/lex">https://allform.com/lex</a> to get 20% off<br /> &#8211; <b>Onnit</b>: <a href="https://lexfridman.com/onnit">https://lexfridman.com/onnit</a> to get up to 10% off<br /> &#8211; <b>Athletic Greens</b>: <a href="https://athleticgreens.com/lex">https://athleticgreens.com/lex</a> and use code LEX to get 1 month of fish oil<br /> &#8211; <b>Blinkist</b>: <a href="https://blinkist.com/lex">https://blinkist.com/lex</a> and use code LEX to get 25% off premium</p> <p><b>EPISODE LINKS:</b><br /> Travis&#8217;s Twitter: <a href="https://twitter.com/teoliphant">https://twitter.com/teoliphant</a><br /> Travis&#8217;s Wiki Page: <a href="https://en.wikipedia.org/wiki/Travis_Oliphant">https://en.wikipedia.org/wiki/Travis_Oliphant</a><br /> NumPy: <a href="https://numpy.org/">https://numpy.org/</a><br /> SciPy: <a href="https://scipy.org/about.html">https://scipy.org/about.html</a><br /> Anaconda: <a href="https://www.anaconda.com/products/individual">https://www.anaconda.com/products/individual</a><br /> Quansight: <a href="https://www.quansight.com">https://www.quansight.com</a></p> <p><b>PODCAST INFO:</b><br /> Podcast website: <a href="https://lexfridman.com/podcast">https://lexfridman.com/podcast</a><br /> Apple Podcasts: <a href="https://apple.co/2lwqZIr">https://apple.co/2lwqZIr</a><br /> Spotify: <a href="https://spoti.fi/2nEwCF8">https://spoti.fi/2nEwCF8</a><br /> RSS: <a href="https://lexfridman.com/feed/podcast/">https://lexfridman.com/feed/podcast/</a><br /> YouTube Full Episodes: <a href="https://youtube.com/lexfridman">https://youtube.com/lexfridman</a><br /> YouTube Clips: <a href="https://youtube.com/lexclips">https://youtube.com/lexclips</a></p> <p><b>SUPPORT &#38; CONNECT:</b><br /> &#8211; Check out the sponsors above, it&#8217;s the best way to support this podcast<br /> &#8211; Support on Patreon: <a href="https://www.patreon.com/lexfridman">https://www.patreon.com/lexfridman</a><br /> &#8211; Twitter: <a href="https://twitter.com/lexfridman">https://twitter.com/lexfridman</a><br /> &#8211; Instagram: <a href="https://www.instagram.com/lexfridman">https://www.instagram.com/lexfridman</a><br /> &#8211; LinkedIn: <a href="https://www.linkedin.com/in/lexfridman">https://www.linkedin.com/in/lexfridman</a><br /> &#8211; Facebook: <a href="https://www.facebook.com/lexfridman">https://www.facebook.com/lexfridman</a><br /> &#8211; Medium: <a href="https://medium.com/@lexfridman">https://medium.com/@lexfridman</a></p> <p><b>OUTLINE:</b><br /> Here&#8217;s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.<br /> (00:00) &#8211; Introduction<br /> (07:06) &#8211; Early programming<br /> (28:47) &#8211; SciPy<br /> (45:41) &#8211; Open source<br /> (57:23) &#8211; NumPy<br /> (1:34:39) &#8211; Guido van Rossum<br /> (1:46:57) &#8211; Efficiency<br /> (1:55:49) &#8211; Objects<br /> (2:02:47) &#8211; Numba<br /> (2:11:53) &#8211; Anaconda<br /> (2:16:20) &#8211; Conda<br /> (2:31:56) &#8211; Quansight Labs<br /> (2:35:32) &#8211; OpenTeams<br /> (2:43:05) &#8211; GitHub<br /> (2:48:35) &#8211; Marketing<br /> (2:53:13) &#8211; Great programming<br /> (3:04:03) &#8211; Hiring<br /> (3:08:01) &#8211; Advice for young people</p>