without looping in Python. Again, this is so all the performance-sensitive work can be done in NumPy itself. Here’s an example: x1 = np.array( [np.arange(0, 10), np.arange(10,20)] ) This creates ...

so that Cython knows how to interpret the argument as a NumPy array (fast) rather than a generic Python object (slow). Here’s an example of a Cython function declaration that takes in a two ...