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

 
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Player FM과 저희 커뮤니티의 Lex Fridman 콘텐츠는 모두 원 저작자에게 속하며 Player FM이 아닌 작가가 저작권을 갖습니다. 오디오는 해당 서버에서 직접 스트리밍 됩니다. 구독 버튼을 눌러 Player FM에서 업데이트 현황을 확인하세요. 혹은 다른 팟캐스트 앱에서 URL을 불러오세요.

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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