Business Profile
NumPy provides the fundamental package for scientific computing with Python, enabling fast, flexible, and interoperable array-based numerical computation.
Researchers, scientists, data scientists, and engineers who use Python for numerical computing, data analysis, machine learning, and visualization.
Core, high-performance N-dimensional array library with a widely adopted API, open-source BSD license, and a large ecosystem of interoperable libraries and hardware support.
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NumPy, together with libraries like SciPy and Matplotlib that depend on NumPy, enabled the Event Horizon Telescope to produce the first ever image of a black hole.
NumPy contributed to data analysis used by LIGO scientists to confirm the existence of gravitational waves.
Cricket analytics and other sports rely on NumPy for statistical modelling and predictive analytics.
DeepLabCut uses NumPy to accelerate scientific studies observing animal behavior for understanding motor control across species and timescales.
The fundamental package for scientific computing with Python. It provides powerful N-dimensional arrays, mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more; open source under the BSD license; interoperable with a wide range of hardware and libraries.
Researchers, scientists, data scientists, and engineers using Python for numerical computing, data analysis, machine learning, visualization, and scientific computing.
NumPy is the core array computing library for Python, offering fast, scalable N-dimensional arrays, a broad ecosystem, and interoperability with hardware and other libraries; it is open source and widely adopted as the foundation for many ML and data science tools.
Requires Python; BSD license; works across hardware platforms; supports GPU-accelerated libraries in its ecosystem (e.g., CuPy, JAX); core implementation in optimized C
Open-source BSD license
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