NumPy
numpy.orgThe fundamental package for scientific computing with Python
Dev Toolsscientific-computingpythonarraysnumerical-computingopen-sourcedata-sciencelinear-algebra
About
NumPy is an open-source Python library that provides fast, powerful N-dimensional array objects and a comprehensive suite of mathematical functions including linear algebra, Fourier transforms, and random number generators. It serves as the foundational building block for the broader scientific Python ecosystem, enabling interoperability with GPU, distributed, and sparse array libraries. Its optimized C core delivers compiled-code performance while maintaining Python's ease of use.
Problem
Python lacks native high-performance multi-dimensional array operations needed for scientific and numerical computing.
For
scientists, data scientists, and Python developers working with numerical computing
How it works
NumPy provides an N-dimensional array object backed by optimized C code, along with vectorized mathematical operations, broadcasting, and indexing that make large-scale numerical computation fast and concise.
Business model
open-source
Status
launched