#1: This is the first index,-1: This is the second index, and it's a negative index. Negative indices count from the end of the array. -1 refers to the last element of the selected row (the second row ...

# Array indexing is the same as accessing an array element. # You can access an array element by referring to its index number. # The indexes in NumPy arrays start with 0, meaning that the first ...

We can cast an ordinary python list as a NumPy one-dimensional array. We can also cast a python list of lists to a NumPy two-dimensional array. Usually we will build arrays by using NumPy's ...

In terms of data filtering, NumPy's boolean indexing feature is a true "weapon." It allows for the generation of a boolean ...