Nearly every scientist working in Python draws on the power of NumPy. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn …

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 1.21 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1.20 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1.19 Manual [HTML+zip] [Reference …

What is NumPy? NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by …

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 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 …

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 …

We have created 43 tutorial pages for you to learn more about NumPy. Starting with a basic introduction and ends up with creating and plotting random data sets, and working with NumPy functions:

The user guide provides in-depth information on the key concepts of NumPy with useful background information and explanation.

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