What are Numba decorators and how do they work?

What are Numba decorators and how do they work?

Numba decorators are used in Python to optimize functions for performance. They compile Python functions to machine code at runtime, which can significantly speed up numerical computations.

Can you give me an example of using a Numba decorator?

Sure! Here's a simple example:

from numba import jit

@jit
def add(x, y):
    return x + y

In this example, the @jit decorator tells Numba to compile the add function for better performance.

What types of functions can I use Numba decorators on?

You can use Numba decorators on functions that perform numerical computations, especially those that involve loops and array operations. However, they work best with functions that use NumPy arrays.

Are there any limitations to using Numba decorators?

Yes, Numba has some limitations. It doesn't support all Python features, such as certain built-in types and complex data structures. It's best suited for numerical functions.