Welcome back...   Now we will continue with part 2 of python programme.   In this post, we will mostly apply what we learnt in part 1.   LET'S BEGIN...   In order to load our inflammation data, we need to access ( import  in Python terminology) a library called NumPy . In general you should use this library if you want to do fancy things with numbers, especially if you have matrices or arrays. We can import NumPy using:      import numpy    Libraries provide additional functionality to the basic Python package. Once you’ve imported the library, we can ask the library to read our data file for us:    numpy.loadtxt(fname='inflammation-01.csv', delimiter=',')    array([[ 0.,  0.,  1., ...,  3.,  0.,  0.],        [ 0.,  1.,  2., ...,  1.,  0.,  1.],        [ 0.,  1.,  1., ...,  2.,  1.,  1.],        ...,        [ 0.,  1.,  1., ...,  1.,  1.,  1.],        [ 0.,  0.,  0., ...,  0.,  2.,  0.],        [ 0.,  0.,  1., ...,  1.,  1.,  0.]])      The expression numpy.loadtxt(....