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NumPy (Numerical Python) is a Python library that supports arrays and matrices of numerical data and performs basic operations on this data. NumPy is designed to improve the performance of Python when working with large amounts of data and to perform mathematical operations on this data quickly and efficiently.
NumPy provides many useful functions, such as linear algebra, Fourier transform, random number generation, mathematical functions and more. It is often used in combination with other libraries such as Pandas, Matplotlib and Scikit-learn to perform complex data analysis and simplify scientific calculations.
Thanks to its rich features and ease of use, NumPy has been widely used in the scientific community and is one of the most important libraries for data analysis in Python.