code: #Simon McLain 2018-04-25
  # Experimenting with numpy
  # https://docs.scipy.org/doc/numpy/reference/generated/numpy.std.html reference to standard deviation 
  # calculate the standard deviation of each column
  
  import numpy
  #imports numpy library providing math functions to operate on them 
  data = numpy.genfromtxt('iris.csv', delimiter=',')
  # Reads the data into an array
  col1 = data[:,0] 
  stdcol1 = numpy.std(data[:,0])
  col2 =data[:, 1]
  stdcol2 = numpy.std(data[:, 1])
  col3 =data[:, 2]
  stdcol3 = numpy.std(data[:, 2])
  col4 =data[:, 3]
  stdcol4 = numpy.std(data[:, 3])
  # Individually looks at each column and returns the standard deviation for that column
  
  print("The standard deviation in petal length is: ", numpy.around(stdcol1, decimals = 2))
  print("The standard deviation in petal width is: ", numpy.around(stdcol2, decimals = 2))
  print("The standard deviation in sepal length is: ", numpy.around(stdcol3, decimals = 2))
  print("The standard deviation in sepal width is: ", numpy.around(stdcol4, decimals = 2))
  
apis: numpy.std numpy.genfromtxt numpy.around