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