a homeschooling blog about Simon, a young mathematician and programmer, and his little sister Neva. Visit https://simontiger.com
Simon returned to his old Attractor sketch in Processing once again, now adding some new functions: The code original came from Daniel Shiffman’s book The Nature of Code, Chapter 5 (Physics … Continue reading Back to Attractor with ToxicLibs
Simon explains why he slightly changed Daniel Shiffman’s Lorenz Attractor Coding Challenge: Simon used four variables instead of 11. The Lorenz system is a system of ordinary differential equations, first … Continue reading Simon’s Changes to the Lorenz Attractor Coding Challenge
In the videos below, Simon is building a Codota demo in Java. Codota is an AI programming assistant that is looking for solutions on GitHub and other global resources and … Continue reading Simon testing Codota
Simon explains how to use XOR in a simple neural network with multiple perceptrons. Based upon Daniel Shiffman’s live stream on neural networks number 98.
In for a shower? Simon made a beautiful Cloud Simulation in Processing (Java). He wrote this code himself. This is the final version of the project: The whole project is … Continue reading Cloud Simulation. Simon’s Own Code.
Simon was preoccupied with vector functions for most of the day on Saturday, compiling what, at first site, looked like a monstrously excessive code in Processing (he recycled some of … Continue reading Back to Python (and C#)!
Simon seems to be setting first gentle steps in Calculus, once again thanks to Daniel Shiffman. In the videos below, Simon talks about minimizing and maximizing functions, the power rule, … Continue reading Treading into Calculus
Simon has been working on a very complicated topic for the past couple of days: Linear Regression. In essence, it is the math behind machine learning. Simon was watching Daniel … Continue reading Simon gets serious with Linear Regression (Machine Learning)
Yesterday Simon got a parcel from the US: Simon’s hero, NYU professor Daniel Shiffman sent him a beautiful gift – a Coding Train shirt! Coding Train is Daniel Shiffman’s channel … Continue reading Coding Train
In the two videos below Simon writes a JavaScript program using Linear Regression in Atom and gives a whiteboard lecture on the Linear Regression algorithm, both following a tutorial on … Continue reading Simon explains Linear Regression (Machine Learning)
Simon’s creative “remix” of example 2.7 from Daniel Shiffman’s The Nature of Code, Chapter 2 (Forces).
Here Simon explains how to calculate the magnitude of a 3D vector. This is something he partially figured out on his own and partially learned from Daniel Shiffman’s tutorial on … Continue reading Magnitude of a 3D vector
Geeks out of the box 