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 ...

To create a memoryview, you use a similar syntax to the array declarations shown above: # conventional Cython def compute(int[:, ::1] array_1): cdef int [:,:] view2d = array_1 # pure-Python mode ...