NumPy: if a package in python for scientific computing. It provides multidimensional array object, various derived objects. It is used to perform basic linear algebra and statistical operations. Its also valued for its speed. An example would be ndarray which is an array object in NumPy which replaces the use of list as it so much faster. SciPy: It is a collection of algorithms and functions built on numPy extension. It adds power to the interactive Python session by providing the user with commands and classes for manipulation and visualizing data. You would use it where fast computational power is needed. Such as integration, you would use quad to calculate the integral of a function. Introduction#. Introduction - SciPy v1.10.1 Manual. (n.d.). Retrieved March 3, 2023, from https://docs.scipy.org/doc/scipy/tutorial/general.html What is numpy?#. What is NumPy? - NumPy v1.24 Manual. (n.d.). Retrieved March 3, 2023, from https://numpy.org/doc/stable/user/whatisnumpy.h