Numba makes Python code go fast. It works by decorating your functions with decorators that tell Numba to compile them. It is particularly effective for code that involves heavy numerical loops and NumPy array manipulations.
Official docs: https://numba.pydata.org/numba-doc/latest/index.html User Guide: https://numba.pydata.org/numba-doc/latest/user/index.html Search patterns: @njit, @vectorize, prange, cuda.jit, numba.typed
This is the "gold standard" for Numba. In this mode, Numba compiles the code without using the Python C-API, resulting in maximum speed. If it can't compile (e.g., because of unsupported Python objects), it throws an error.
Un compilatore Just-In-Time (JIT) per Python che traduce un sottoinsieme di codice Python e NumPy in codice macchina veloce. Sviluppato da Anaconda, Inc. Altamente efficace per accelerare cicli, funzioni matematiche personalizzate e algoritmi numerici complessi. Utilizzare per @njit, @vectorize, prange, cuda.jit, numba.typed, compilazione JIT, loop paralleli, accelerazione GPU con CUDA, simulazioni Monte Carlo, algoritmi numerici e elaborazione Python ad alte prestazioni. Fonte: tondevrel/scientific-agent-skills.