Pure Python: We will use nested lists to represent and operate with vectors and matrices. NumPy: You will learn to work with arrays, which facilitates many operations and optimizes performance. By the ...

However, the crux of the course is not about proving theorems, but to demonstrate the practices and visualization of the concepts. Thus we will not engage in precise deduction or notation, rather we ...

Spicing up Algebra I class isn’t easy, and getting students to check their answers can be especially challenging. However, introducing short Python programs to check answers is easy and fun, and your ...

These pages provide a showcase of how to use Python to do computations from linear algebra. We will demonstrate both the NumPy (SciPy) and SymPy packages. This is meant to be a companion guide to a ...

MIT教科書 Python言語によるプログラミングイントロダクション第3版を監訳者がMITのスライドを使って説明しています．今回は，第4章の関数とスコープです． ...