Matrix Multiplication in NumPy | Dataford Interview Questions

Problem

Given two 2D NumPy arrays a and b, implement matrix multiplication from scratch without using np.matmul, the @ operator, or np.dot. Return a new 2D NumPy array containing the product. If the inner dimensions do not match, raise a ValueError.

Constraints

a and b are 2D NumPy arrays
1 <= a.shape[0], a.shape[1], b.shape[0], b.shape[1] <= 200
a.shape[1] == b.shape[0] for valid multiplication
Do not use np.matmul, np.dot, or the @ operator

Problem

Constraints

a and b are 2D NumPy arrays
1 <= a.shape[0], a.shape[1], b.shape[0], b.shape[1] <= 200
a.shape[1] == b.shape[0] for valid multiplication
Do not use np.matmul, np.dot, or the @ operator

Problem

Constraints

a and b are 2D NumPy arrays
1 <= a.shape[0], a.shape[1], b.shape[0], b.shape[1] <= 200
a.shape[1] == b.shape[0] for valid multiplication
Do not use np.matmul, np.dot, or the @ operator

Problem

Constraints

a and b are 2D NumPy arrays
1 <= a.shape[0], a.shape[1], b.shape[0], b.shape[1] <= 200
a.shape[1] == b.shape[0] for valid multiplication
Do not use np.matmul, np.dot, or the @ operator