Physical Symbolic Optimization (PhySO) is a Python package that performs symbolic regression using deep reinforcement learning to discover mathematical equations that fit scientific data. The system searches the space of functional forms and dimensional constraints to find analytically correct physical laws. It supports multi-dataset regression, uncertainty-aware fitting, and incorporates dimensional analysis for physics-based constraints.