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

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

Lex Fridman Podcast vor 5 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

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3:11:30

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

– 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://open.spotify.com/episode/2U2AkSSuAzmZi7nmGzJboW

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

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