For those of you who do numerical calculations, need to speed up your code, and use NumPy arrays: I've written several C extensions that handle NumPy arrays. They are simple, but they seem to work well. They will show you how to pass Python variables and NumPy arrays to your C code. Once you learn how to do it, it's pretty straight-forward. I suspect they will suffice for most numerical code. I've written it up as a draft and have made the code and document file available. If you want a copy, just email me or post a followup here to this message. I will send it to you as a tar.gzip file (only 192 KB). Remember it is only a draft (no guarantees or warantees) and you should test the code for your own uses. I would really love people who are much more knowledgable about these things than I to look it over and set me straight on any mistakes (like not INREF'ing something). In addition, is there a place I could put this up on the web for others? I don't have any way to do that at my lab. I would like to share with the Python community since I've been helped so much on these mailing lists. By the way I did this after a long time of searching for ways to speed up Python and connect with my C and C++ code. There are a lot of solutions out there, but I decided that they all provided so much more than I needed and required so much more learning time that it wasn't worth it. I am not knocking them. I found for my numerical needs I really only need to pass a limited set of things (integers, floats, strings, and NumPy arrays). If that's your category, this code might help you. -- Lou Pecora Naval Research Lab Washington, DC ____________________________________________________________________________________ Need a quick answer? Get one in minutes from people who know. Ask your question on www.Answers.yahoo.com