How can I use Numba to speed up my Python code?

How can I use Numba to speed up my Python code?

You can use Numba by adding the @jit decorator to your functions. This compiles them to machine code for faster execution.

Can you show me a simple example?

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

What types of functions work best with Numba?

Numba works best with numerical functions that use NumPy arrays. It excels in loops and mathematical operations.

Are there any limitations I should be aware of?

Yes, Numba doesn't support all Python features. For example, it doesn't work with complex data types or certain built-in functions.