scipy.optimize
The scipy.optimize module is a part of the SciPy library in Python, designed for optimization tasks. It provides a collection of algorithms to find the minimum or maximum of functions, solve equations, and fit models to data. Users can apply these tools to various problems, including linear programming and curve fitting.
This module supports both constrained and unconstrained optimization, allowing for flexibility in problem-solving. It includes methods like minimize, which can handle different types of objective functions, and root, which finds the roots of equations. Overall, scipy.optimize is essential for numerical optimization in scientific computing.