How do I perform matrix multiplication using NumPy in Python?

How do I perform matrix multiplication using NumPy in Python?

You can use the numpy.dot() function or the @ operator for matrix multiplication. Here's an example:

import numpy as np

A = np.array([[1, 2], [3, 4]])
B = np.array([[5, 6], [7, 8]])

result = np.dot(A, B)
# or
result = A @ B
print(result)

What is the difference between dot and matmul?

Both dot and matmul can perform matrix multiplication, but matmul is more explicit for matrix operations and supports broadcasting. dot can also perform dot products for 1D arrays.

Can I multiply more than two matrices at once?

Yes, you can multiply more than two matrices by chaining them together. For example:

result = A @ B @ C

What happens if the matrices have incompatible shapes?

If the matrices have incompatible shapes, NumPy will raise a ValueError. Make sure the number of columns in the first matrix matches the number of rows in the second.