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#3blue1brown — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #3blue1brown, aggregated by home.social.

  1. A very fascinating video. It breaks down Escher's famous Print Gallery to show how it was created mathematically. It also shows what would appear in that round blank space in the middle of the drawing.

    youtube.com/watch?v=ldxFjLJ3rVY

    #3Blue1Brown #Escher #Mathematics #Art

  2. Die Mathematik-Erklär-Videos von #3Blue1Brown sind eigentlich immer lohnenswert. Hier erklärt Grant Sanderson die Mathematik hinter M.C. Eschers Werk "Druckgalerie" und geht der Frage nach, was sich wohl im Zentrum des Bildes befinden könnte.

    youtube.com/watch?v=ldxFjLJ3rVY

    #Mathematik #MCEscher #PrintGallery

  3. Met verwondering gekeken naar een wiskundige 'artiest' die zo mooi laat zien hoe een andere wiskundige artiest geweldig mooie en knappe kunstwerken heeft achtergelaten.

    #escher #art by #3blue1brown

    youtu.be/ldxFjLJ3rVY

  4. Python вместо After Effects: пишем видео на Manim

    Зачем двигать ползунки мышкой, если вы знаете Python? В статье разбираем Manim — библиотеку, с помощью которой создаются видео на канале 3Blue1Brown. Установка, отличие версий, рендеринг LaTeX-формул и код для вашей первой процедурной анимации. Превращаем скрипты в MP4 без единого кейфрейма.

    habr.com/ru/articles/986048/

    #python #manim #python3 #python_для_начинающих #LaTeX #python_3 #3blue1brown #Математика

  5. [Перевод] Manim: как создавать математические анимации в стиле 3Blue1Brown с помощью Python

    Команда Python for Devs подготовила перевод статьи о Manim — Python-инструменте для создания наглядных математических анимаций в стиле 3Blue1Brown. Разбираемся, как с помощью кода визуализировать уравнения, графики и абстрактные идеи так, чтобы они были понятны коллегам, менеджерам и студентам.

    habr.com/ru/articles/978902/

    #manim #3blue1brown #latex #data_science #математика #анимация #визуализация #графики

  6. On Pi Day 2025, as you might recall, I introduced you (more or less) to 3Blue1Brown. Also known as Grant Sanderson.

    If there's any better source of animated math presentations, than Mr. Sanderson, I'm unaware of it.

    Key word: "animated." In addition, he is a warm, enthusiastic teacher. And of course he knows his stuff well—how else could he have made the truly fantastic animations?

    I haven't watched them all yet. But so far, I especially like 2016's BUT WHAT IS THE RIEMANN ZETA FUNCTION? VISUALIZING ANALYTIC CONTINUATION and 2019's DIFFERENTIAL EQUATIONS, A TOURIST'S GUIDE | DE1.

    I may never again be able to ponder some ideas they convey, without seeing those animations in my head. They're that perfect.

    So give those two videos a try, if you're comfortable enough with the one I had shared on Pi Day...if now you want a couple which are more challenging. Maybe unforgettable, too.

    #3Blue1Brown
    #RiemannZetaFunction
    #DifferentialEquations
    #learning

    mindly.social/@setsly/11416148

    youtube.com/watch?v=sD0NjbwqlYw

    youtube.com/watch?v=p_di4Zn4wz4

  7. Feeling like having a math-video marathon?

    #3Blue1Brown made a list of their 25 favorite math explainers. Much of them are far above my head, but the clay animation and the string machine ones seem very cool just for the visuals.

    youtube.com/watch?v=6a1fLEToyv

    #maths #mathart #mathviz #MathVisualization

  8. Today was about starting to better understand calculus. The maths has always been my Achilles heel for the #fastai course and I can’t afford to wait until we cover those topics in my #openuniversity degree, so I’m diving in now.

    Watched the beginnings of the #3blue1brown video series and started to develop a very high-level understanding.

    Two key concepts: derivatives and integrals.

    I’ll write a blog tomorrow summarising the extent of my understanding. #100DaysOfFastAI

  9. 3Blue1Brown on Wordle, probability, information theory, and expected value.

    Or: Shannon, von Neumann, and Pascal walk into a word game...

    Whether or not you've been sucked into this word game fad, this is a really good explanation of the relationships between probability and expected information value (I = -log2(p)), as well as how to optimally find one element within a known search space.

    It explains the logic behind selecting starting words for Wordle, as well as how and why optimisers choose their own guesses, and what an optimal solver's ultimate limits would be.

    yewtu.be/watch?v=v68zYyaEmEA

    HN discuussion: news.ycombinator.com/item?id=3

    #Wordle #3Blue1Brown #Video #InformationTheory #Probability #ClaudeShannon #JohnVonNeumann #BlaisePascal #ExpectedValue