The NumPy library is very helpful for solving linear systems in python. For how to install NumPy look here
Matrixes in Python
Creating a matrix
a = np.array([[1,2],[3,4]])
In Python rows and columns start at 0. For example index the data at first row second column :
Indexing matrix
b = a[0,1]
Linear algebra using NumPy
NumPy has several useful functions for linear algebra built-in. For full list look check the NumPy documentation.
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Example
Solving set of equations
import numpy as np # Solving following system of linear equation # 5a + 2b = 35 # 1a + 4b = 49 a = np.array([[5, 2],[1,4]]) # Lefthand-side of the equation b = np.array([35, 94]) #Righthand-side print(np.linalg.solve(a,b)) #Printing the solution