Scipy is an open-source scientific computing library for Python that builds on the capabilities of NumPy. It provides many additional modules and functions for various scientific and technical computing tasks. Scipy is built on top of NumPy and is part of the SciPy stack, which includes other libraries like Matplotlib, SymPy, and Pandas, among others. Here are some key aspects of Scipy and its operations: 1. Integration and Differentiation: Scipy provides functions for numerical integration ( scipy.integrate ) and differentiation ( scipy.misc.derivative ). The integration module includes methods for both definite and indefinite integrals. 2. Optimization: The optimization module ( scipy.optimize ) offers a variety of optimization algorithms, including unconstrained and constrained minimization of scalar functions, least-square minimization, and global optimization. 3. Interpolation: Scipy provides tools for interpolating data using ...