#numba

#numba

Combine CPU-core parallelism and algorithmic optimization (e.g., Numba) to substantially speed up NumPy computations and reduce memory usage.

Core open-source Python scientific tools like SciPy, NumPy, and Numba were developed to manage large numerical datasets and foster a collaborative scientific computing ecosystem.