Advanced Python Programming

Using Cython with Jupyter

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 ...