How can I use Cython to speed up my NumPy code?

How can I use Cython to speed up my NumPy code?

You can use Cython to compile Python code into C, which can significantly improve performance. Start by writing a Cython file with your NumPy code.

What are the steps to set up Cython with NumPy?

First, install Cython using pip. Then, create a .pyx file for your code, and write a setup.py script to compile it.

Can you give me an example of a simple Cython function that uses NumPy?

Sure! Here's a simple example:

import numpy as np
cimport numpy as cnp

def add_arrays(cnp.ndarray[cnp.float64_t] a, cnp.ndarray[cnp.float64_t] b):
    cdef int n = a.shape[0]
    cdef cnp.ndarray[cnp.float64_t] result = np.empty(n)
    for i in range(n):
        result[i] = a[i] + b[i]
    return result

How do I compile the Cython code?

You can compile it by running the setup script with the command python setup.py build_ext --inplace. This will generate a shared object file.