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

NumPy documentation # Version: 2.4 Download documentation: Historical versions of documentation Useful links: Home | Installation | Source Repository | Issue Tracker | Q&A Support | Mailing List …

Scientific Python Lectures Besides covering NumPy, these lectures offer a broader introduction to the scientific Python ecosystem. NumPy: the absolute basics for beginners NumPy tutorial by Nicolas …

The basics # NumPy’s main object is the homogeneous multidimensional array. It is a table of elements (usually numbers), all of the same type, indexed by a tuple of non-negative integers. In NumPy …

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, …

Web Latest (development) documentation NumPy Enhancement Proposals Versions: NumPy 2.4 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 2.3 Manual [HTML+zip] …

What is NumPy? # NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays …

NumPy: the absolute basics for beginners # Welcome to the absolute beginner’s guide to NumPy! NumPy (Num erical Py thon) is an open source Python library that’s widely used in science and …

Dec 21, 2025 · NumPy reference # Release: 2.4 Date: December 21, 2025 This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they …

As of NumPy 1.16, this returns a view containing only those fields. In older versions of NumPy, it returned a copy. See the user guide section on Structured arrays for more information on multifield …