👉 The installed math in Python is a collection of mathematical libraries and functions that are integrated directly into the Python standard library, allowing developers to perform a wide range of mathematical operations without needing to install additional packages. This includes support for basic arithmetic, complex numbers, trigonometry, exponential and logarithmic functions, statistical analysis, linear algebra, and more. The most prominent libraries include NumPy for numerical computations, SciPy for scientific and engineering applications, and Matplotlib for data visualization. These libraries are designed to be efficient, versatile, and easy to use, making it possible for Python developers to tackle complex mathematical problems with minimal setup.
