I've been asked to write a short column about Numpy and my web site in IEEE AP, for the Educational Corner. I still consider myself a Numpy neophyte, but perhaps thats the beauty of Python, being able to do neat things without being an expert. I am pondering what to write about on the Numpy side. I am soliciting any genious ideas for topics :) The first thing I thought of is that I just plain enjoy being able to tweek code without worrying about compilers. Second, the code ends up so much more readable than Fortran or C. Thirdly, vectorizing the ported code makes it look much more like the mathematical basis of the program. Lastly, I think its the perfect language for students learning algorithms. I'm open to any ideas. Thanks, Rob. -- The Numeric Python EM Project www.pythonemproject.com