February 2026 monthly summary for ubsuny/PHY386: Delivered two major features that advance teaching resources and engineering tooling. First, PHY386 Course Educational Notebooks: two notebooks covering Homework 1 basic Python tasks, data plotting, derivatives, and mathematical operations, with educational content and historical astronomy references, all Colab-ready to streamline onboarding. Second, Circuit Analysis Tool with AI-assisted Filter Design: implements matrix-based circuit analysis by solving Ax=b derived from Kirchhoff's laws, computes branch currents across five resistors (including a balanced R5 current result), validates circuit balance via a bridge_balance check, and demonstrates an AI-assisted low-pass filter design workflow. Also built reusable scaffolding (build_system, solve_circuit, bridge_balance) to enable consistent matrix-based analysis and rapid iteration. These efforts improve student learning experiences, accelerate tool prototyping for electronics coursework, and showcase practical integration of Python, numerical methods, and AI-assisted design.