NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.

The only prerequisite for installing NumPy is Python itself. If you don’t have Python yet and want the simplest way to get started, we recommend you use the Anaconda Distribution - it includes Python, …

Code of Conduct NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, …

NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive …

NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray, it provides a lot of supporting functions that make working with …

Mar 25, 2026 · NumPy is a core Python library for numerical computing, built for handling large arrays and matrices efficiently. It is significantly faster than Python's built-in lists because it uses optimized …

NumPy documentation # Version: 1.26 Download documentation: Historical versions of documentation Useful links: Installation | Source Repository | Issue Tracker | Q&A Support | Mailing List NumPy is …

NumPy (pronounced / ˈnʌmpaɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level …

NumPy is a Python library. NumPy is used for working with arrays. NumPy is short for "Numerical Python".

The NumPy home page. Contribute to numpy/numpy.org development by creating an account on GitHub.