Answer:
import numpy as np
a = int(input ("Enter a"))
b = int(input ("Enter b"))
c = int(input ("Enter c"))
d = int(input ("Enter d"))
c1 = int(input ("Enter c1"))
c2 = int(input ("Enter c2"))
array1 =[[a, b],[c, d]]
A = np.array (array1)
B = np.array ([c1, c2])
X = np.linalg.inv (A).dot (B)
print (X)
Explanation:
let ax + by =c1
cx + dy =c2
We have used the above NumPy library that has the methods for matrix calculation, and here we have used matrix multiplication, and the inverse of a matrix to find the value of x and y.
We know AX=B
X = inv A. B
And this we have used above. We can calculate inv A and do matrix multiplication using NumPy. And thus we get the above solution.
Answer:
umm, we can't say any links
Explanation:
Answer:
That’s highly illegal. You should notify them that it is illegal. And, if they continue, you should notify the legal team. If it continues, you either need to leave the company or notify the proper authorities.
Answer: ( 3**2)
Explanation: honestly I can't help you. Try google it is waiting for you with open harms.
Answer:
Know what the code should do
