SciPy is an open-source Python library used for scientific and technical computing. It builds on the capabilities of NumPy, providing additional functionality for tasks such as optimization, integration, interpolation, eigenvalue problems, and other mathematical computations. SciPy is widely used in various fields, including engineering, physics, and data science. The library is organized into submodules, each catering to specific scientific tasks. For example, the scipy.optimize module helps find the minimum or maximum of functions, while scipy.integrate is used for numerical integration. Its user-friendly interface and extensive documentation make it accessible for both beginners and experienced programmers.