SciPy

SciPy is the core open-source Python library for scientific computing: it provides high-level, efficient numerical routines built on NumPy arrays.

SciPy is your essential toolbox for advanced scientific and technical computing in Python. It extends the NumPy foundation, offering specialized modules for critical tasks like optimization (`scipy.optimize`), numerical integration (`scipy.integrate`), linear algebra (`scipy.linalg`), and statistics (`scipy.stats`). The library wraps highly-optimized implementations (often C, C++, and Fortran) to ensure top-tier performance on complex problems. Use SciPy to solve differential equations, perform signal processing, or handle sparse matrices; it’s the proven, community-driven package for researchers and engineers globally.

https://scipy.org