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numpy/NumPy
NumPy is the core numerical-computing library for Python. Its ndarray object stores large, homogeneous arrays efficiently and enables vectorised operations, which lets mathematical code run without slow Python loops. It is the foundation beneath much of the Python scientific stack.
Overview
NumPy is the core numerical-computing library for Python. Its ndarray object stores large, homogeneous arrays efficiently and enables vectorised operations, which lets mathematical code run without slow Python loops. It is the foundation beneath much of the Python scientific stack.
What you can do
- Multidimensional arrays, broadcasting and vectorised computation.
- Linear algebra, Fourier transforms, random sampling and polynomial tools.
- A practical starting point for simulations, numerical methods, machine learning and data analysis.
How to start
- Read the official documentation and introductory guide.
- Reproduce one small example before adapting it to your own problem.
- Keep the repository link nearby for issues, releases and contribution guidance.