NumPy

NumPy (Numerical Python) is a fundamental Python library for numerical computing. It provides powerful support for working with large, multi-dimensional arrays and matrices, along with a wide range of mathematical functions to operate on these arrays efficiently. NumPy forms the core of the scientific computing ecosystem in Python and is optimized for performance using C under the hood. It supports broadcasting, vectorized operations, linear algebra, random number generation, Fourier transforms, and integration with other libraries such as pandas, scikit-learn, TensorFlow, and PyTorch. NumPy arrays (ndarray) are more memory-efficient and faster than native Python lists, making them essential for data science, machine learning, and scientific research.