#224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming
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
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Conversations about AI, science, technology, history, philosophy and the nature of intelligence, consciousness, love, and power.
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vor 4 Jahren
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
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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