Description
Scientific calculations can use numerical algorithms for optimization, integration, signal processing, statistics, and linear algebra in legacy Python 2 workflows. SciPy supports researchers and engineers building analysis pipelines on NumPy.
It is imported by scripts, notebooks, and applications rather than opened directly. Results depend on input data, numerical assumptions, and validation against the domain problem.