# Python – Compute the Jacobian matrix in Python

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derivative, numpy, python

`import numpy as npa = np.array([[1,2,3], [4,5,6], [7,8,9]])b = np.array([[1,2,3]]).Tc = a.dot(b) #functionjacobian = a # as partial derivative of c w.r.t to b is a.`

I am reading about jacobian Matrix, trying to build one and from what I have read so far, this python code should be considered as jacobian. Am I understanding this right?

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## Best Solution

You can use the Harvard

`autograd`

library (link), where`grad`

and`jacobian`

take a function as their argument:Otherwise, you could use the

`jacobian`

method available for matrices in`sympy`

:Also, you may also be interested to see this low-level variant (link). MATLAB provides nice documentation on its

`jacobian`

function here.