Differences between the "@" operator and np.matmul() [closed]

Question

Is there an advantage to using the @ operator over numpy.matmul when multiplying vectors, matrices, etc? Is this mainly for readability? Whats is the convention?

Answer 1

As the doc explains: The matmul function implements the semantics of the @ operator introduced in Python 3.5 following PEP465.

So basically, @ is the same as np.matmul without method parameters.