What are some examples of using Numba for optimization?

What are some examples of using Numba for optimization?

Numba is a just-in-time compiler for Python that can significantly speed up numerical computations. Would you like to see a specific example?

Yes, can you show me an example of optimizing a simple function?

Sure! Here's a simple example:

import numba
import numpy as np

@numba.jit
def sum_array(arr):
    total = 0
    for i in arr:
        total += i
    return total

arr = np.arange(1000000)
print(sum_array(arr))

This function sums the elements of an array using Numba to optimize the performance.

How much faster is it compared to a regular Python function?

The performance gain can be significant, often speeding up the function by 10x or more, depending on the complexity of the operation and the size of the data.

Are there any limitations to using Numba?

Yes, Numba works best with NumPy arrays and functions that can be compiled. It may not support all Python features, especially those involving dynamic typing.