## Multi-pendulum Harmonograph simulator using numpy and matplotlib

22nd June 2017

This is a simple harmonograph simulator to generate random-ish harmonographs. It asks for the number of pendulums, and exits if the number is 0. It also asks for the frequency spread, which means roughly, how far from integer may the frequencies go. The nearer to integer they are, the ‘cleaner’ looking the harmonographs are, but […]

## A Neural Network in Python, Part 2: activation functions, bias, SGD, etc.

9th February 2017

This is Part 2 of A Neural Network in Python, which was a very simple neural network to learn the XOR function. This part builds on that example to demonstrate more activation functions, learning a simple math function, adding a bias, improvements to the initial random weights, stochastic gradient descent, mean square error loss function, […]

## A Neural Network in Python, Part 1: sigmoid function, gradient descent & backpropagation

31st January 2017

In this article, I’ll show you a toy example to learn the XOR logical function. My objective is to make it as easy as possible for you to to see how the basic ideas work, and to provide a basis from which you can experiment further. In real applications, you would not write these programs from scratch […]

## Make ‘Computer Music’ with a very small program!

11th May 2015

This is a fun little program to generate ‘computer music’, specifically ‘bytebeats’ which sound like the chip music featured in the early computer games. As is well-known, sound can be digitised and stored in computers. Conversely, numbers can be converted to sound. But those numbers don’t have to come from a file, they can be generated on the […]

## Easy Graph Plotting with Pyplot

7th May 2015

Graphs (also known as charts) are an indispensible visual aid for conveying a lot of data in an easy-to-digest form. Everyone is familiar with graphs in everyday life, such as those showing trends over time, e.g. world population, global warming, the cost of living, interest rates, etc. They are of fundamental importance in the STEM […]