NumPy is the fundamental package for scientific computing with Python. It provides powerful N-dimensional arrays, fast vectorization, indexing, and broadcasting concepts, which are standard in array computing. NumPy offers numerical computing tools including mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It's open-source, distributed under a BSD license, and developed by a community on GitHub. NumPy supports a wide range of hardware and computing platforms and works well with distributed, GPU, and sparse array libraries. The core of NumPy is optimized C code, offering the flexibility of Python with compiled code speed. NumPy's high-level syntax makes it accessible and productive for programmers of all backgrounds and experience levels.
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