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Episode description
#224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming
Lex Fridman Podcast
Sep 23, 2021
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Episode description
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
