Using heavy-duty data processing functions in Jupyter

Python has several groups of processing functions that can tax computer system power. Let us use some of these in Jupyter and determine if the functionality performs as expected.

Using NumPy functions in Jupyter

NumPy is a package in Python providing multidimensional arrays and routines for array processing. We bring in the NumPy package using import * from numpy statement. In particular, the NumPy package defines the array keyword, referencing a NumPy object with extensive functionality.

The NumPy array processing functions run from the mundane, such as min() and max() functions (which provide the minimum and maximum values over the array dimensions provided), to...