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A few good places to begin

Meet the collection through visual mathematics, software design, chip fabrication, and scientific curiosity.

6 videos · 3 hours 37 min

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  1. 01

    Vectors | Chapter 1, Essence of linear algebra

    3Blue1Brown · 17 HN recommendations

    The first chapter of 3Blue1Brown's Essence of Linear Algebra series, introducing vectors with animated geometric visuals. It begins a series that builds intuition for linear algebra from the basics.

  2. 02

    "Simple Made Easy" - Rich Hickey (2011)

    Strange Loop Conference · 14 HN recommendations

    Rich Hickey's Strange Loop 2011 keynote distinguishing 'simple' (not intertwined) from 'easy' (familiar or near at hand). It argues that software complexity comes from complecting things and that we should pick simple constructs.

  3. 03

    Indistinguishable From Magic: Manufacturing Modern Computer Chips

    Andor Gafotas · 19 HN recommendations

    A HOPE09 talk on how modern computer chips are manufactured, from 22nm transistors to ultra-clean fabs and the tricks used to pattern tiny features with light. It frames chipmaking as hacking electrical engineering and physics.

  4. 04

    Bret Victor - Inventing on Principle

    Rui Oliveira · 12 HN recommendations

    Bret Victor's talk at CUSEC 2012 in which he argues that creators need immediate feedback and should organize their work around a guiding principle. He demonstrates live-coding and animation tools that show results as you type, and describes his own principle that creators must see what they are making.

  5. 05

    But what is the Fourier Transform? A visual introduction.

    3Blue1Brown · 16 HN recommendations

    3Blue1Brown's animated visual introduction to the Fourier Transform, showing how a signal breaks into frequency components.

  6. 06

    Feynman on Scientific Method.

    seabala · 6 HN recommendations

    A short clip of Richard Feynman explaining the scientific method: guess, compute consequences, compare to experiment, and why vague theories like astrology cannot be proven wrong.