Hi

have a look to "csvread" functions to read (very fast) txt/csv files even for 
huge file including million(s) of lines ...
.. but I've not figure out what you want to do exactly

Paul

----- Mail original -----
De: "Stephan Schreckenbach" <[email protected]>
À: [email protected]
Envoyé: Samedi 4 Janvier 2014 23:31:28
Objet: [Scilab-users] scilab memory usage




Hi, 
I want to script a code that reads data from txt or csv files and does some 
calculations on them. In the future I might evaluate large data files, 
run calculation extensive parameter optimizations, do some loops with a high 
number of onedimensional calculations. 
Therefore I worry about speed and memory usage. 
I run WinXp with 3GB RAM, Intel Core 2Duo. 



Since scilab processes all data as variant, how much memory is required for 
each constant or variable, being string, integer or double? 
I still wonder if I should script via Excel VBA or scilab. 
I will store my results in Excel anyway and it might be therefore easier to use 
VBA. 
As I have read, scilab can use up to 2 GB RAM, VBA only 500MB. 
But, in VBA data types can be declared, saving some memory. 

Scilab can do multithreading, but not on Windows, which is what I use. 
VBA can't do it eighter. 
VBA might have a larger user community and knowledge Base, Scilab might be 
easier to script. 



I would like to start out with eighter scilab or VBA and then to stick to one 
of them due to the large amount of code 
and subscripts to write . 



So-what is your suggestions? 
Thanks very much in advance for your help! 



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