Numpy articles

NumPy is an open-source, fundamental package for scientific computing in Python. It offers powerful tools for working with arrays, provides high-level mathematical functions, and supports operations like linear algebra, Fourier transform, and random number generation. NumPy arrays, its primary data structure, are more efficient and versatile than traditional Python lists, making NumPy a cornerstone for numerical computations and data analysis in Python. It's widely used in academia, finance, and industry, and serves as a key component for libraries like Pandas, Matplotlib, and SciPy.