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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)

This is not about teaching Python - the programming language. This tutorial will not magically transform you into a Python ninja. I am assuming that you already know the basics of Python. If you don't, then stop right now. Go read Zed Shaw's brilliant free book Learn Python The Hard Way first and then come back.

spire.io provides, as its foundation, a simple REST API. As such, the first thing you do is some discovery to get all the URLs you need to get started.

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)

This tutorial discusses various techniques for using generator functions and generator expressions in the context of systems programming. This topic loosely includes files, file systems, text parsing, network programming, and programming with threads.