Processing.py is built on Jython, a Python implementation running on the JVM, and it enables Processing functionality with Python’s sugary syntax. It supports both “static” and “active” sketches, sketch-specific global variables and methods, and all included Processing renderers. It is distributed as a .jar and to play with it you do not need Jython. Below is a toy syntax comparison:
These sketches produce the same result when run, but the Processing.py version doesn’t have brackets, semicolons, or return types. This is exciting in itself, but it does more. I’ve rewritten Daniel Shiffman’s Wolfram CA example to show off some of the differences you’ll encounter between Processing.py and pure Processing. Some of the examples are contrived, some are more practical.
Full instructions and a quick start guide are available in the project’s readme. You can run my gist, try the included examples, and write your own. Additional information about the details of the implementation itself are available in a Google Docs presentation here.