what the differences between ndarray and list in python?
There are several differences:
-You can append elements to a list, but you can't change the size of a ´numpy.ndarray´ without making a full copy.
-Lists can containt about everything, in numpy arrays all the elements must have the same type.
-In practice, numpy arrays are faster for vectorial functions than mapping functions to lists.
-I think than modification times is not an issue, but iteration over the elements is.
Numpy arrays have many array related methods (´argmin´, ´min´, ´sort´, etc).
I prefer to use numpy arrays when I need to do some mathematical operations (sum, average, array multiplication, etc) and list when I need to iterate in 'items' (strings, files, etc).
last week, my teacher asks us: when storing integers from one to one hundred, what the differences between using list and using ndarray. I never use numpy before, so I search this question on the website.
But all my search result told me, they just have dimension difference. Ndarray can store N dimension data, while list storge one. That doesn't satisfy me. Is it really simple, just my overthinking, Or I didn't find the right keyword to search?
I need help.