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The Nature of Code

46 lectures, 10 hr 27 min in all

Can the unpredictable evolutionary and emergent properties of nature be captured insoftware? Can understanding the mathematical principles behind the physical world world help to create digital worlds? This learning playlist focuses on the programming strategies and techniques behind computer simulations of natural systems. I'll explore topics ranging from basic mathematics and physics concepts to more advanced simulations of complex systems. Subjects covered include physics simulation, trigonometry, self-organization, genetic algorithms, and neural networks. Examples are demonstrated in JavaScript using p5.js.

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Start lecture 1
  1. 1
    Welcome to The Nature of Code with p5.js!

    5 min

  2. 2
    Introduction

    1 min

  3. 3
    Perlin Noise in p5.js

    12 min

  4. 4
    Noise vs Random in p5.js

    11 min

  5. 5
    How to Graph Perlin Noise with p5.js

    14 min

  6. 6
    Perlin Noise in Two Dimensions (p5.js)

    12 min

  7. 7
    Perlin Noise Detail in p5.js

    4 min

  8. 8
    I.7 : What is OpenSimplex Noise?

    18 min

  9. 9
    Random Walker in p5.js (Coding Challenge 52)

    16 min

  10. 10
    1.1 What is a Vector? - The Nature of Code

    16 min

  11. 11
    1.2 Vector Math - The Nature of Code

    12 min

  12. 12
    1.3 Random Vectors - The Nature of Code

    9 min

  13. 13
    1.4 Static Functions - The Nature of Code

    10 min

  14. 14
    1.5 A Unit Vector (Normalize) - The Nature of Code

    14 min

  15. 15
    1.6 Acceleration Vector - The Nature of Code

    11 min

  16. 16
    2.1 Simulating Forces: Gravity and Wind - The Nature of Code

    24 min

  17. 17
    2.2 Mass and Acceleration - The Nature of Code

    12 min

  18. 18
    2.3 Friction Force - The Nature of Code

    15 min

  19. 19
    2.4 Drag Force - The Nature of Code

    11 min

  20. 20
    2.5 Gravitational Attraction - The Nature of Code

    17 min

  21. 21
    Coding Challenge #53: Random Walker with Vectors and Lévy Flight

    16 min

  22. 22
    2.6 Mutual Attraction - The Nature of Code

    23 min

  23. 23
    3.1 Angles and Rotation - Nature of Code

    11 min

  24. 24
    3.2 Angular Motion - Nature of Code

    10 min

  25. 25
    3.3: Angles and Vectors - Nature of Code

    10 min

  26. 26
    3.4 Polar Coordinates - The Nature of Code

    17 min

  27. 27
    3.5 Simple Harmonic Motion - Nature of Code

    12 min

  28. 28
    3.6 Graphing Sine Wave - Nature of Code

    10 min

  29. 29
    3.7: Additive Waves - The Nature of Code

    13 min

  30. 30
    Coding Challenge #159: Simple Pendulum Simulation

    22 min

  31. 31
    Coding Challenge 160: Spring Forces

    33 min

  32. 32
    4.1: Particle System Simulation - The Nature of Code

    10 min

  33. 33
    4.2: Many Particle Systems (Emitters!) - The Nature of Code

    8 min

  34. 34
    16.17: Inheritance in JavaScript - Topics of JavaScript/ES6

    18 min

  35. 35
    16.18: Polymorphism in JavaScript - Topics of JavaScript/ES6

    9 min

  36. 36
    4.3: Particle Systems with Inheritance - The Nature of Code

    6 min

  37. 37
    4.4: Particle Systems with Image Textures - The Nature of Code

    13 min

  38. 38
    5.1 Autonomous Steering Agents Introduction - The Nature of Code

    10 min

  39. 39
    5.2 Seeking a Target - The Nature of Code

    13 min

  40. 40
    5.3 Flee, Pursue, Evade - The Nature of Code

    13 min

  41. 41
    5.4 Arrive Steering Behavior - The Nature of Code

    9 min

  42. 42
    5.5 Wander Steering Behavior - The Nature of Code

    16 min

  43. 43
    5.6 Vector Dot Product (Scalar Projection) - The Nature of Code

    14 min

  44. 44
    5.7 Path Following (Steering) - Nature of Code

    16 min

  45. 45
    Coding Challenge 179: Elementary Cellular Automata

    22 min

  46. 46
    Coding Challenge 184: Collisions Without a Physics Library!

    31 min