How can I integrate Cython with NumPy for better performance?

How can I integrate Cython with NumPy for better performance?

Integrating Cython with NumPy can significantly enhance performance. You can start by creating a Cython file with the .pyx extension.

What are the steps to create a Cython file?

First, install Cython using pip. Then, create a .pyx file where you define your functions and include NumPy headers.

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

Sure! Here's a simple example:

import numpy as np

cpdef double sum_array(np.ndarray[double] arr):
    cdef double total = 0
    for i in range(arr.shape[0]):
        total += arr[i]
    return total

How do I compile this Cython code?

You can compile it using a setup.py file with the following content:

from setuptools import setup
from Cython.Build import cythonize
import numpy as np

setup(ext_modules=cythonize('your_file.pyx'), include_dirs=[np.get_include()])