How can I improve my Python code's performance using Numba?

How can I improve my Python code's performance using Numba?

You can use Numba to compile your Python functions to machine code, which can significantly speed up execution.

What types of functions work best with Numba?

Numba works best with numerical functions, especially those that use NumPy arrays and loops.

Are there any limitations I should be aware of?

Yes, Numba doesn't support all Python features, such as certain data types and complex object-oriented programming.

Can you show me a simple example of using Numba?

Sure! Here's a basic example:

from numba import jit

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