👉 The configured math environment is set up to use Python as its primary language for mathematical computations and symbolic processing, with support for numerical and scientific computing. It's equipped with libraries like NumPy for efficient numerical operations, SymPy for symbolic mathematics, and Matplotlib for plotting graphs. The environment also includes a virtual environment feature to manage dependencies, ensuring that each project can have its own isolated set of packages. This setup allows for a flexible and powerful environment to handle a wide range of mathematical tasks, from simple arithmetic to complex symbolic algebra and calculus, making it suitable for both educational purposes and advanced research applications.
