#224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming
Lex Fridman Podcast
English - September 23, 2021 01:41 - 3 Bytes - ★★★★★ - 2.1K ratingsTechnology interview health business news politics entrepreneurship comedy culture science books Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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
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