On Friday, November 8, 2002, at 06:49 AM, Peter Lundh wrote:
This autumn I started my PhD on Colour Imaging Science at the DerbyI don't have any direct experience, but here is my opinion-- Revolution would be no match for a highly optimized C library for a particular purpose, like imaging or crunching matrices and things.
University, UK. A requirement at the institute is knowledge of MatLab and
"C" - MatLab for modeling and C for compiling applications. MatLab I know,
so that's ok - but now I have to learn "C" on top of all the other things I
have to do.
So my question is the following: Could Revolution (since I'm already
familiar with it and like it!) be a substitute for "C" when developing
scientific applications? Typical needs would be the ability to read,
manipulate, display and output different types of image data, Possibility to
compute Matrix, Fourier and Polynomial algorithms etc.
If I were you, I would go ahead and learn C. C is not a very big or complex language; Unlike C++ <shudder> which is a monster of a language. Get the book _The C Programming Language_ by Kernighan and Ritchie (270pp) which will get you up to speed on ANSI C.
Then you could learn how to write Revolution externals. Then you can have the best of both worlds: Quickly build apps with nice GUIs in Revolution, which have access to Matlab or other imaging and math libraries that exist out there. If there is a fast imaging or maths library that exists out there, it's probably written in C and you don't want to spend time rewriting it in Rev. You want to start using it ASAP and that's where externals come in.
Not that I have ever written an external or anything, mind you. ;-)
Alex Rice, Software Developer
Architectural Research Consultants, Inc.
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