With the closure of Google Code, I’ve moved some projects to github. All personal projects so far, but related to talks our blog posts from the past, so may still be of interest.
The first project I want to highlight again is written in C++ and implements genetic algorithms using mainly C++ templates, just to see how powerful they were. It taught me a lot about generic code, and how a poor type system can interfere with the clarity of your code. It also prepared me for one of my first talks, about Genetic Algorithms at a Beauty of Code techmeetup.
I’d like to look at a Python port, to see if my expectations of using dynamic typing would answer the concerns I have about code clarity. For now though, it’s available for reference. It’s not production tested, and there are parts that are embarrassing, but it might be interesting if you want to know what genetic algorithms might look like.
Craig Nicol 
One reply on “Google Code Migration : Genetic Algorithm Templates”
[…] Algorithm talk, to refactor it with a bit more time to hopefully make it clearer. I also ported the C++ template code to Python to make it easier to demo. I’ll be talking about the implementation differences in […]
LikeLike