Ex 2.1 Using NumPy Statistical Functions:

Objective: Learn how to create NumPy arrays, identify their shapes and types, and use NumPy statistical functions.

  1. Download the Ex2.1_NumPy.ipynb file.
  2. Work through parts 1 through 3 and submit your completed Jupyter Notebook (.ipynb) file to the first quiz question on Canvas. Your notebook should include both your code and the corresponding output that match the screengrabs provided below. Be sure to run all cells so that every output appears in the notebook.

Expected output: NumPy array created from employee salary lists showing shape and dtype

 

Expected output: Element-wise NumPy array operations combining salary and bonus arrays

 

Expected output: NumPy statistical functions including max and amax applied along axes