What are the differences between Numba and Cython?

What are the differences between Numba and Cython?

Numba is a just-in-time compiler that translates a subset of Python and NumPy code into fast machine code. Cython, on the other hand, is a static compiler that allows you to write C extensions for Python, enabling you to gain C-like performance.

Which one is easier to use for a beginner?

Numba is generally easier for beginners because you can use it with minimal changes to your existing Python code. Cython requires you to write C-like code and manage type declarations, which can be more complex.

Can I use both Numba and Cython together?

Yes, you can use both together. You might use Cython to create a C extension and then apply Numba to optimize specific functions within that extension.

What kind of performance improvements can I expect?

Performance improvements can vary widely depending on the code. Numba can speed up numerical computations significantly, often by an order of magnitude, while Cython can also provide substantial speedups, especially for loops and array manipulations.