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

Twitter Mentions