Applied Metaphors: Learning TRIZ, Complexity, Data/Stats/ML using Metaphors
  1. Teaching
  2. Math Models for Creative Coders
  3. Tech
  4. Adding Libraries to p5.js
  • Teaching
    • Data Analytics for Managers and Creators
      • Tools
        • Introduction to R and RStudio
        • Introduction to Radiant
        • Introduction to Orange
      • Descriptive Analytics
        • Data
        • Summaries
        • Counts
        • Quantities
        • Groups
        • Densities
        • Groups and Densities
        • Change
        • Proportions
        • Parts of a Whole
        • Evolution and Flow
        • Ratings and Rankings
        • Surveys
        • Time
        • Space
        • Networks
        • Experiments
        • Miscellaneous Graphing Tools, and References
      • Statistical Inference
        • 🧭 Basics of Statistical Inference
        • 🎲 Samples, Populations, Statistics and Inference
        • Basics of Randomization Tests
        • 🃏 Inference for a Single Mean
        • 🃏 Inference for Two Independent Means
        • 🃏 Inference for Comparing Two Paired Means
        • Comparing Multiple Means with ANOVA
        • Inference for Correlation
        • 🃏 Testing a Single Proportion
        • 🃏 Inference Test for Two Proportions
      • Inferential Modelling
        • Modelling with Linear Regression
        • Modelling with Logistic Regression
        • 🕔 Modelling and Predicting Time Series
      • Predictive Modelling
        • 🐉 Intro to Orange
        • ML - Regression
        • ML - Classification
        • ML - Clustering
      • Prescriptive Modelling
        • 📐 Intro to Linear Programming
        • 💭 The Simplex Method - Intuitively
        • 📅 The Simplex Method - In Excel
      • Workflow
        • Facing the Abyss
        • I Publish, therefore I Am
      • Case Studies
        • Demo:Product Packaging and Elderly People
        • Ikea Furniture
        • Movie Profits
        • Gender at the Work Place
        • Heptathlon
        • School Scores
        • Children’s Games
        • Valentine’s Day Spending
        • Women Live Longer?
        • Hearing Loss in Children
        • California Transit Payments
        • Seaweed Nutrients
        • Coffee Flavours
        • Legionnaire’s Disease in the USA
        • Antarctic Sea ice
        • William Farr’s Observations on Cholera in London
    • R for Artists and Managers
      • 🕶 Lab-1: Science, Human Experience, Experiments, and Data
      • Lab-2: Down the R-abbit Hole…
      • Lab-3: Drink Me!
      • Lab-4: I say what I mean and I mean what I say
      • Lab-5: Twas brillig, and the slithy toves…
      • Lab-6: These Roses have been Painted !!
      • Lab-7: The Lobster Quadrille
      • Lab-8: Did you ever see such a thing as a drawing of a muchness?
      • Lab-9: If you please sir…which way to the Secret Garden?
      • Lab-10: An Invitation from the Queen…to play Croquet
      • Lab-11: The Queen of Hearts, She Made some Tarts
      • Lab-12: Time is a Him!!
      • Iteration: Learning to purrr
      • Lab-13: Old Tortoise Taught Us
      • Lab-14: You’re are Nothing but a Pack of Cards!!
    • ML for Artists and Managers
      • 🐉 Intro to Orange
      • ML - Regression
      • ML - Classification
      • ML - Clustering
      • 🕔 Modelling Time Series
    • TRIZ for Problem Solvers
      • I am Water
      • I am What I yam
      • Birds of Different Feathers
      • I Connect therefore I am
      • I Think, Therefore I am
      • The Art of Parallel Thinking
      • A Year of Metaphoric Thinking
      • TRIZ - Problems and Contradictions
      • TRIZ - The Unreasonable Effectiveness of Available Resources
      • TRIZ - The Ideal Final Result
      • TRIZ - A Contradictory Language
      • TRIZ - The Contradiction Matrix Workflow
      • TRIZ - The Laws of Evolution
      • TRIZ - Substance Field Analysis, and ARIZ
    • Math Models for Creative Coders
      • Maths Basics
        • Vectors
        • Matrix Algebra Whirlwind Tour
        • content/courses/MathModelsDesign/Modules/05-Maths/70-MultiDimensionGeometry/index.qmd
      • Tech
        • Tools and Installation
        • Adding Libraries to p5.js
        • Using Constructor Objects in p5.js
      • Geometry
        • Circles
        • Complex Numbers
        • Fractals
        • Affine Transformation Fractals
        • L-Systems
        • Kolams and Lusona
      • Media
        • Fourier Series
        • Additive Sound Synthesis
        • Making Noise Predictably
        • The Karplus-Strong Guitar Algorithm
      • AI
        • Working with Neural Nets
        • The Perceptron
        • The Multilayer Perceptron
        • MLPs and Backpropagation
        • Gradient Descent
      • Projects
        • Projects
    • Data Science with No Code
      • Data
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      • Summaries
      • Counts
      • Quantity
      • 🕶 Happy Data are all Alike
      • Groups
      • Change
      • Rhythm
      • Proportions
      • Flow
      • Structure
      • Ranking
      • Space
      • Time
      • Networks
      • Surveys
      • Experiments
    • Tech for Creative Education
      • 🧭 Using Idyll
      • 🧭 Using Apparatus
      • 🧭 Using g9.js
    • Literary Jukebox: In Short, the World
      • Italy - Dino Buzzati
      • France - Guy de Maupassant
      • Japan - Hisaye Yamamoto
      • Peru - Ventura Garcia Calderon
      • Russia - Maxim Gorky
      • Egypt - Alifa Rifaat
      • Brazil - Clarice Lispector
      • England - V S Pritchett
      • Russia - Ivan Bunin
      • Czechia - Milan Kundera
      • Sweden - Lars Gustaffsson
      • Canada - John Cheever
      • Ireland - William Trevor
      • USA - Raymond Carver
      • Italy - Primo Levi
      • India - Ruth Prawer Jhabvala
      • USA - Carson McCullers
      • Zimbabwe - Petina Gappah
      • India - Bharati Mukherjee
      • USA - Lucia Berlin
      • USA - Grace Paley
      • England - Angela Carter
      • USA - Kurt Vonnegut
      • Spain-Merce Rodoreda
      • Israel - Ruth Calderon
      • Israel - Etgar Keret
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On this page

  • Introduction
  • Simple Instructions!
  • References
  1. Teaching
  2. Math Models for Creative Coders
  3. Tech
  4. Adding Libraries to p5.js

Adding Libraries to p5.js

p5.js

Introduction

When we wish to use some feature that is not directly available in p5.js, say for example creating Voronoi Tesselations using the c2.js library, then we need to import that JavaScript library into our p5.js session that allows us to do that.

Simple Instructions!

  1. On your p5.js web editor, click the arrow on the left side and access the index.html file.
Figure 1: Accessing index.html on p5js web editor
  1. Go to either jsDeliver or cdnjs and get the <script> for your chosen library:
Figure 2: Script for tonejs @ cdnjs website
  1. Paste that <script> tag and its contents into your index.html.

  2. The library will now be available in your sketch.js and you can use the commands and features from that library therein.

Here is a shortish video that tells us how to do this:

References

  1. p5.js Documentation: How to use a JS library in your p5.js sketch. https://archive.p5js.org/libraries/
  2. p5.js Community Libraries. https://p5js.org/libraries/
  3. jsDeliver https://www.jsdelivr.com/?query=p5play
  4. cdnJS.https://cdnjs.com
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Tools and Installation
Using Constructor Objects in p5.js

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