Adam's Blogroll: click through to the author's blog
In the never-ending quest to find the perfect color scheme for any given situation at any given moment, Coolors is another set of tools to find the right shades for your application. The twist is that there’s a generator that shows you schemes based on inputs, such as a certain hue or a photograph. There is also a list of trending palettes.
This is fun. It’s a fantasy map generator with the following rules:
Project goal is a procedurally generated map for my Medieval Dynasty simulator. Map should be interactive, scalable, fast and plausible. There should be enought space to place at least 500 manors within 7 regions. The imagined area is about 200.000 km2.
Just click and there’s a new map generated on the fly.
Martin O’Leary’s generator is still my favorite, but I think there is plenty of room in the world for procedurally generated fantasy maps.
There comes a time in every data scientist’s life when an idea for a weird Twitter bot pops into your head. Or some one-off game based on dataset you played with recently. How does one go about making something like this? Kate Compton provides a beginner’s guide.
This is a beginner-level advice essay for people just getting started with building generators. It’s also for practiced experts who want a way to organize their knowledge. The advice is meant for any kind of generators: humorous twitterbots, fanciful art-making bots, level generators, planet builders, makers of music, architecture, poetry, and cocktails.
Tags: generator
Posted by in generator, statistics