Overview of basics of Numpy
# Basics of numpy
import numpy as np
np.array() # The argument is typically a list []
# To square a number use ** NOT ^
x = np.array([1,2,3,4,5,6,7,8,9,10])
x > 4 # Returns a list of boolean values True or False
x[x > 4] # Returns the values where the condition is True
# Key functions
np.mean()
np.median()
np.corrcoef()
np.sum()
np.sort()
np.random.normal() # Takes 3 args - mean, sd, n