NumPy (Numerical Python) is a powerful library in Python for numerical computations. It provides support for arrays, matrices, and a variety of high-level mathematical functions, making it an essential tool for scientific and engineering applications. 1. Introduction to NumPy NumPy is an open-source Python library designed specifically for numerical computations. At its core, NumPy provides the ndarray , a powerful n-dimensional array object that allows for fast and efficient storage and manipulation of numerical data. It also includes a wide range of mathematical functions to perform operations on these arrays, which enables users to handle large datasets and perform complex computations with fewer line of code. NumPy is widely used in various fields, including data science, machine learning, and scientific research. 2. Installing NumPy To start using NumPy, it needs to be installed in your Python environment. You can easily install NumPy using the Python package manager pip by runni...