Optimizing Cython code requires substantial trial and error. Fortunately, Cython tools can be conveniently accessed through the Jupyter notebook for a more streamlined and integrated experience.
You can launch a notebook session by typing jupyter notebook in the command line and you can load the Cython magic by typing %load_ext cython in a cell.
As already mentioned earlier, the %%cython magic can be used to compile and load the Cython code inside the current session. As an example, we may copy the contents of cheb.py into a notebook cell:
%%cython
import numpy as np
cdef int max(int a, int b):
return a if a > b else b
cdef int chebyshev(int x1, int y1, int x2, int y2):
return max(abs(x1 - x2), abs(y1 - y2))
def c_benchmark():
a = np.random.rand(1000, 2)
b = np.random.rand(1000, 2)
for x1, y1 in a:
for x2, y2 in b:
chebyshev(x1, x2, y1, y2)A useful feature of the %%cython magic...