Hello, can you help me with this python question about Numpy package. Thank you very much!

Select one or more: a. Passing a 3-dimensional ndarray to the built-in list() function will return a corresponding list of lists of lists. b. ndarrays are mutable. c. Using an aggregate function (such as sum or max) on an array might produce a new array with one less dimension. d. Using an aggregate function (such as sum or max) on an ndarray always produces a scalar result. e. To modify all members of an ndarray using the same function or expression, we need to write a Python loop to iterate. f. We can use indexing, slicing, and striding features on ndarrays, and for 1-dimensional ndarrays the indexing syntax is identical to that of lists. g. ndarrays support all the features of Python integers Oh. We lose the speed advantages of Numpy as the array size gets bigger