Mathematics

Use the sympy skill for exact symbolic math in Python, including algebra, calculus, matrices, physics formulas, number theory, geometry, and code generation. It helps you keep expressions exact, choose the right SymPy modules, and avoid float-heavy mistakes. Best for users who need a practical sympy guide for symbolic workflows and sympy for Data Analysis.

pymoo is a Python skill for single- and multi-objective optimization, Pareto fronts, constrained problems, and benchmark tests. Use this pymoo guide to choose algorithms like NSGA-II, NSGA-III, and MOEA/D, follow the install and usage workflow, and apply pymoo for Data Analysis when multiple metrics must be balanced.