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Lex Fridman PodcastLex Fridman Podcast

Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming | Lex Fridman Podcast #224

Travis Oliphant is a data scientist, entrepreneur, and creator of NumPy, SciPy, and Anaconda.

Lex FridmanhostTravis Oliphantguest
Sep 23, 20213h 5mWatch on YouTube ↗

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Episode Details

EPISODE INFO

Released
September 23, 2021
Duration
3h 5m
Channel
Lex Fridman Podcast
Watch on YouTube
▶ Open ↗

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:

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/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 1:11 - Early programming 22:52 - SciPy 39:46 - Open source 51:29 - NumPy 1:28:44 - Guido van Rossum 1:41:02 - Efficiency 1:49:54 - Objects 1:56:52 - Numba 2:05:58 - Anaconda 2:10:25 - Conda 2:26:01 - Quansight Labs 2:29:37 - OpenTeams 2:37:10 - GitHub 2:42:40 - Marketing 2:47:18 - Great programming 2:58:08 - Hiring 3:02:06 - Advice for young people SOCIAL:

SPEAKERS

  • Lex Fridman

    host
  • Travis Oliphant

    guest
  • Narrator

    other
  • Narrator

    other

EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Travis Oliphant, Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming | Lex Fridman Podcast #224 explores Travis Oliphant on building Python’s scientific backbone and beyond Travis Oliphant recounts how his love of math and early programming led him to create Numeric, SciPy, NumPy, and later Anaconda/Conda, which together became the core of scientific and data science computing in Python.

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