What types does Numba support for optimization?
Numba supports a variety of types including integers, floats, complex numbers, and arrays. Would you like to know more about a specific type?
Can you explain how Numba handles arrays?
Numba can optimize NumPy arrays, allowing for fast computations. It supports 1D, 2D, and higher-dimensional arrays.
Are there any limitations on the types Numba can optimize?
Yes, Numba has limitations on certain Python objects and complex data structures. It's best with NumPy arrays and basic types.
How do I use Numba with my existing code?
You can use the @jit decorator to compile your functions. Just import Numba and apply it to your functions for optimization.
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