The easiest way to understand how extensions work in Wave is to build a Wave robot. Robots are applications that interact with a Wave through the Wave protocol (HTTP interface). Currently, we only support robots hosted with Google App Engine. In the future, we will support any client architecture that implements the Wave protocol.

If you check http://socialsynergyweb.org/network/category/blog-categories/floss you'll see documentation of infrastructure that I set up on dev server.

We now have mongrel clsuters running, and Imagemagik and rmagick working correctly, plus documentation of how to do it.

Sphinx is a tool that makes it easy to create intelligent and beautiful documentation, written by Georg Brandl and licensed under the BSD license.

It was originally created to translate the new Python documentation, and it has excellent support for the documentation of Python projects, but other documents can be written with it too. Of course, this site is also created from reStructuredText sources using Sphinx!

It is still under constant development, and the following features are already present, work fine and can be seen “in action” in the Python docs:

An example of modeling spring mass with Python. This library could be very useful for general physical engineering and research/design.

There are many ways to serve a WSGI application. While you’re developing it, you usually don’t want to have a full-blown webserver like Apache up and running, but instead a simple standalone one. Because of that Werkzeug comes with a builtin development server.

The easiest way is creating a small start-myproject.py file that runs the application using the builtin server:

#!/usr/bin/env python
# -*- coding: utf-8 -*-
 
from werkzeug import run_simple
from myproject import make_app
 
app = make_app(...)
run_simple('localhost', 8080, app, use_reloader=True)