NumPy
NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Olliphant. It is an open source project and is widely used in scientific computing, data analysis, and artificial intelligence applications. NumPy arrays are faster and more efficient than traditional Python lists because they allow vectorized operations. This means that operations can be performed on entire arrays instead of looping through each element. NumPy also provides a large number of mathematical functions that can be applied to arrays. NumPy arrays can have any number of dimensions and can be indexed and sliced like traditional Python lists.
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