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 c_benchmark():
        a = np.random.rand(1000, 2)
        b = np.random.rand(1000, 2)

        for x1, y1 in a:
           for x2, y2 in b:
        ...