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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. 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/ 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: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Reddit: https://reddit.com/r/lexfridman - Support on Patreon: https://www.patreon.com/lexfridman

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

CHAPTERS

  1. 0:00 – 1:11

    Introduction

  2. 1:11 – 22:52

    Early programming

  3. 22:52 – 39:46

    SciPy

  4. 39:46 – 51:29

    Open source

  5. 51:29 – 1:28:44

    NumPy

  6. 1:28:44 – 1:41:02

    Guido van Rossum

  7. 1:41:02 – 1:49:54

    Efficiency

  8. 1:49:54 – 1:56:52

    Objects

  9. 1:56:52 – 2:05:58

    Numba

  10. 2:05:58 – 2:10:25

    Anaconda

  11. 2:10:25 – 2:26:01

    Conda

  12. 2:26:01 – 2:29:37

    Quansight Labs

  13. 2:29:37 – 2:37:10

    OpenTeams

  14. 2:37:10 – 2:42:40

    GitHub

  15. 2:42:40 – 2:47:18

    Marketing

  16. 2:47:18 – 2:58:08

    Great programming

  17. 2:58:08 – 3:02:06

    Hiring

  18. 3:02:06 – 3:05:24

    Advice for young people

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