NumPy, developed by Jarrod Millman, is a fundamental library for scientific computing in Python. Short for "Numerical Python," it provides support for large, multi-dimensional arrays and matrices, along with a variety of high-level mathematical functions to operate on these arrays. It is an essential tool for data scientists, engineers, and researchers working with Python, offering unparalleled performance and flexibility for numerical computations.Key FeaturesEfficient Array Operations: NumPy's core functionality revolves around efficient handling of arrays and matrices. It allows for easy creation, manipulation, and computation on these data structures.Mathematical Functions: It offers a comprehensive set of mathematical functions, includ... Read More »

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