numpy/numpy ↗
Created Dec 28, 2020 · View the numpy/numpy repository page
The fundamental package for scientific computing with Python.
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Contributors
1,277
Lines of Code
56,581
From
Dec 18, 2001
To
Dec 28, 2020
About numpy/numpy
NumPy is the foundational library for scientific computing in Python, providing essential data structures and computational tools used across the scientific and data science ecosystem. At its core is a powerful N-dimensional array object that serves as the basis for numerical computations, along with sophisticated broadcasting functions that enable efficient operations on arrays of different shapes. The library also offers comprehensive capabilities for linear algebra, Fourier transforms, and random number generation, making it indispensable for researchers, engineers, and data scientists.
Beyond pure numerical computation, NumPy includes tools for integrating C, C++, and Fortran code, allowing developers to optimize performance-critical sections or leverage existing scientific libraries. The project is backed by NumFOCUS and maintains rigorous testing standards using pytest and hypothesis. It has a well-established community development model with multiple contribution pathways ranging from code improvements to documentation, tutorials, graphic design, and fundraising efforts. The project emphasizes inclusivity and maintains an active communication infrastructure including mailing lists, GitHub discussions, and biweekly community calls to support both new and experienced contributors.