NumPy is a core Python library for scientific computing, valued for its efficient data structures and vectorised operations for handling numerical arrays. It lets you run complex calculations quickly and reliably, while also serving as the backbone for many machine learning and data science libraries. Deployed on a CPU server, NumPy makes full use of highly optimised, low-level libraries (BLAS, LAPACK), along with parallel processing and vector instructions found in modern processors. It’s therefore an ideal solution for intensive digital processing, without the need for specialised hardware accelerators.