Topics include: • Using Jupyter Notebook • Creating NumPy arrays from Python structures • Slicing arrays • Using Boolean masking and broadcasting techniques • Plotting in Jupyter notebooks • Joining and splitting arrays • Rearranging array elements • Creating universal functions • Finding patterns • Building magic squares and magic cubes with NumPy and Python