I have used Matlab for many years for data processing. I have included here a few scripts that work in either Matlab or GNU/Octave.
I found Matlab easy to use. The writers simplified the programming language and the interaction with the user making it much easier than say C++. I have moved to using GNU/Octave in scripting because I do not have a legitimate copy of Matlab and do not want to resort to piracy. Matlab does many things that Octave never will, interfacing with NiDaq equipment being one of the many. For now, I am satisfied with what I am using.
The one draw back to both Matlab and Octave is that it can not handle strings and numbers within the same data matrix... there is a way around this but is it complicated and uses something a kin to the old C struct.
Anyway, I will post here a few scripts I have written and that I find useful in data processing.
Comments:
Apart from getting better programming syntax, you also get the NiDaq access, and all for free as in beer. ;)
http://www.scipy.org/Cookbook/Data_Acquisition_with_NIDAQmx
Best regards,
Michael