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

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

By Lex Fridman

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