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Case Study
Linear Algebra Tools
A comprehensive suite of tools for linear algebra, designed to help students and professionals master the concepts of linear algebra.
Project Overview
A Python desktop application built with CustomTkinter, SymPy, NumPy, and Matplotlib. It provides step-by-step matrix operations, eigenvalue/eigenvector computations, visual vector transformations, and Gaussian elimination solvers designed to make linear algebra intuitive and accessible.
Architecture & Features
- Clean modular structure designed for reliable execution and maintainability.
- High efficiency performance, low footprint, and instant user interaction feedback.
- Cross-platform compatibility with modern developer tooling.
Tech Stack
PythonCustomTkinterSymPyNumPyMatplotlibDesktop App
CategoryTools
RepositoryPublic (GitHub)
DeveloperKong Sokpiseth