NumPy
NumPy provides n-dimensional arrays and numerical computing tools for Python.
About NumPy
NumPy is a Python package for scientific computing centered on N-dimensional arrays. It provides vectorization, indexing, and broadcasting for array computing, along with mathematical functions, random number generators, linear algebra routines, and Fourier transforms.
Its core is implemented in C code for use through Python syntax, and it works with distributed, GPU, and sparse array libraries. The site lists the latest release as NumPy 2.5.0 and includes an interactive shell for running example code.
Key features
- N-dimensional arrays with vectorization, indexing, and broadcasting
- Mathematical functions for array-based computation
- Random number generators
- Linear algebra routines
- Fourier transforms
- Interoperates with distributed, GPU, and sparse array libraries
Best for: Scientists and Python programmers working with numerical data and array computation.
Good for
- Distributed under a liberal BSD license with public development on GitHub
- Core implemented in C code for use through Python syntax
- Supports multiple hardware and computing platforms
NumPy at a glance
- Website
- numpy.org
- Category
- Development › Developer Tools
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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NumPy FAQ
What license does NumPy use?
It is distributed under a liberal BSD license and maintained publicly on GitHub.
What is the standard way to import NumPy?
The site shows the standard import as import numpy as np.
What is the latest release noted on the site?
NumPy 2.5, with version 2.5.0 dated 2026-06-21.
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