Supported NumPy features — Numba 0. 52. 0. dev0+274. g626b40e-py3. 7-linux . . . Numba excels at generating code that executes on top of NumPy arrays NumPy support in Numba comes in many forms: Numba understands calls to NumPy ufuncs and is able to generate equivalent native code for many of them NumPy arrays are directly supported in Numba
NumPy and numba — numba 0. 12. 0 documentation - PyData Numba generated code will evaluate the full expression in one go, for each element The numba approach approach avoids having temporal intermmediate arrays built, as well as avoiding revisiting operands that are being used more than once in a expression
Parallel Range — numba 0. 11. 0 documentation - PyData Numba implements the ability to run loops in parallel, similar to OpenMP parallel for loops and Cython’s prange The loops body is scheduled in seperate threads, and they execute in a nopython numba context prange automatically takes care of data privatization and reductions: