The fundamental package for scientific computing with Python
N-dimensional arrays and math: the substrate beneath pandas, PyTorch and every ML stack.
Travis Oliphant's 2005 array library: the substrate of scientific Python, pandas, PyTorch, scikit-learn all build on its ndarray. 2.0 cleaned the API
Who it's for
Anyone doing numerical or scientific computing in Python: the foundation of the data stack.
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