Description
Provides the core multidimensional array and numerical computing library used across the Python scientific ecosystem. It helps applications store arrays, run vectorized calculations, and exchange data with many scientific libraries.
NumPy is foundational infrastructure, not a finished analysis app. Results depend on correct data, shapes, units, and numerical assumptions, so scientific workflows should include checks.