Thanks a lot for the responses. I wanted it to be generic.
> . I don't know if the int type is essential to you algorithm, I ignorantly > assumed it is not (sorry if I might be wrong here). I can have strings as well there. In case of string, i will have a diff of 2 if strings are not same otherwise it will be 0. Your approach makes sense for me. Especially if I will use the linear algebra libraries. In Python, I used numpy for these. I used the CSVtools as this gives you easy access to read the data from files. > It could be possible to get the column names from the csv itself. You can > read files at compile time, and build your object type according to the first > line. I tried this as well but ended up messing up things with my limited knowledge of nim. In fact the csvtools gives you that option as well where you can get a seq[csvrows] and from there I guess you can create the type object. I guess my issue is that I am thinking in python and then tries to implement in nim. I will need to develop my thinking in nim. Thanks
