NumPy is a well-known array-processing library for Python. NumPy is capable of processing enormous multi-dimensional arrays and matrices thanks to its large collection of high-complexity mathematical functions. For linear algebra, Fourier transforms, and random numbers, NumPy is quite useful. Other libraries, such as TensorFlow, employ NumPy to manipulate tensors on the backend. NumPy allows you to define any data types and integrate with most databases with ease. NumPy can also be used as a multi-dimensional container for any generic data, regardless of datatype. The robust N-dimensional array object, broadcasting functions, and out-of-the-box capabilities to integrate C/C++ and Fortran code are just a few of NumPy's highlights.