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A programming language is essentially a means of communicating between humans and computers. Traditional computer science research has studied the machine end of the communications link at great length, but there is a shortage of knowledge and research methods for understanding the human end of the link.

This tutorial is a practical exploration of using Python coroutines (extended generators) for solving problems in data processing, event handling, and concurrent programming. The material starts off with generators and builds to writing a complete multitasking environment that can run thousands of concurrent tasks without using threads or using code based on event-driven callbacks (i.e., the "reactor" model)