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 speed up NumPy operations. Start by writing a Cython function that wraps your NumPy code.

What are the steps to set up Cython in my project?

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

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

Sure! Here's a simple example:

import numpy as np
cimport numpy as cnp

def cython_function(cnp.ndarray[cnp.float64_t] arr):
    cdef int i
    cdef double sum = 0
    for i in range(arr.shape[0]):
        sum += arr[i]
    return sum

How much performance improvement can I expect?

The performance improvement can vary, but many users report speedups of 2x to 100x, depending on the complexity of the operations.