June 2009
More powerful Python testing techniques
Look at how the leading Python testing frameworks provide robust auto-discovery of your application tests. Make sure your applications are written right the first time, and that they stay working through months and years of further tweaks and improvements.
April 2009
Distributing computing with RPyC
RPyC is a seamless library for integrating Python processes on many machines/processes. This article looks at the advantages or drawbacks RPyC has over other distributed Python frameworks such as XML-RPC and Pyro. A few simple examples of using RPyC are included to give you a feel for the library.
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