SciPy (Scientific Python) is a foundational library for scientific and technical computing built on NumPy, providing high-performance implementations of algorithms for optimization, integration, interpolation, linear algebra, signal processing, statistics, and more. It is the standard for solving complex numerical problems in physics, engineering, data science, and research. Understanding SciPy means knowing both its wide-ranging module ecosystem and the performance-critical nature of its implementations — many routines are backed by optimized Fortran and C libraries, making function selection and parameter tuning essential for efficient computation.

---