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Welcome to the NumPy Tutorials repository, your one-stop collection of learning materials for mastering NumPy, a fundamental library for scientific computing in Python.
The repository "Prac_Codes" on GitHub by VIA-s-acc contains various classes and methods for solving linear and non-linear equations, performing numerical integration, and addressing mathematical physics problems. It includes tools for generating and solving equations, matrix operations, polynomial manipulation, interpolation, and more.
This project implements a linear solver using triangulation methods to efficiently solve systems of linear equations. Developed for the "Calcul formel et Numérique" course INFO-F205, it focuses on reducing systems to upper triangular form for easy resolution.