**Math & Physics Toolkit** is a comprehensive, zero-dependency desktop application engineered in pure Python 3 with `tkinter`, delivering unified computational access across **27 domains** of mathematics and physics. Designed for students, educators, researchers, and engineers, it features a minimalist dark-themed GUI with an embedded CLI terminal—enabling both visual interaction and scriptable command-line workflows. The application dynamically loads calculation modules via `importlib`, ensuring efficient memory usage and extensibility without external packages. Supported domains span Classical Mechanics, Thermodynamics, Electromagnetism, Quantum Mechanics, Relativity, Astrophysics, Calculus, Linear Algebra, Differential Equations, Numerical Methods, Probability, and AI/ML Mathematics. Each module provides domain-specific formulas, unit-aware computations, and formatted results with scientific notation support. The dual-interface architecture allows seamless switching: users can navigate categories via intuitive dropdowns or execute precise calculations through terminal commands. Built with strict input validation, modular design, and deterministic resource management, the toolkit runs efficiently on Windows, macOS, and Linux with only Python 3.6+ and standard library dependencies. Its lightweight footprint (~500 KB), offline capability, and MIT licensing make it ideal for academic use, rapid prototyping, or integration into educational workflows. Whether verifying a kinematic equation, exploring Fourier transforms, or computing statistical distributions, Math & Physics Toolkit transforms complex theoretical concepts into accessible, interactive computations—empowering users to focus on insight rather than implementation. 🔬🧮💻

mathphysictool

Math & Physics Toolkit is a comprehensive, zero-dependency

Math & Physics Toolkit is a comprehensive, zero-dependency