SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems.

3 days ago · Want to build from source rather than use a Python distribution or pre-built SciPy binary? This guide will describe how to set up your build environment, and how to build SciPy …

Here is a step-by-step guide to setting up a project to use SciPy, with uv, a Python package manager. Install uv following, the instructions in the uv documentation.

SciPy is a collection of mathematical algorithms and convenience functions built on NumPy . It adds significant power to Python by providing the user with high-level commands and classes …

These tools handle projects, like SciPy itself, that start to grow larger and more complicated. Separate files can hold frequently used functions, types, variables, and analysis scripts for …

In SciPy there are modules whose names don’t start with an underscore, but that should be considered private. To clarify which modules these are, we define below what the public API is …

SciPy has many functions for performing hypothesis tests that return a test statistic and a p-value, and several of them return confidence intervals and/or other related information.

SciPy is developed in the open on GitHub, through the consensus of the SciPy and wider scientific Python community. For more information on our governance approach, please see our …

Getting started New to SciPy? Check out the getting started guides. They contain an introduction to SciPy’s main concepts and links to additional tutorials.

Homebrew has an incomplete coverage of the SciPy ecosystem, but does install these packages: