Dear all,
I have an Hamletic doubt concerning the numpy array data type.
A general learned rule concerning the array usage in other high-level
programming languages is that array data-type are homogeneous datasets
of fixed dimension.
Therefore, is not clear to me why in numpy the size of an array can be
changed (either with the 'returning-value' resize() function either with
the 'in-place' array method resize()).
More in detail, if the existence of the first function
('returning-value') might make sense in array computing operation, the
existence of the 'in-place' method really make no sense for me.
Would you please be so kind to give some explanation for the existence of
resize operator for numpy array? If array size can be change, what are the real
advantages of using numpy array instead of list object?
Thanks in avdance
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