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

Sep 11, 2025 · 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.

Jun 10, 2017 · Array objects ¶ NumPy provides an N-dimensional array type, the ndarray, which describes a collection of “items” of the same type. The items can be indexed using for example …

The SciPy project welcomes your expertise and enthusiasm! Your choices aren’t limited to programming, as you can see below there are many areas where we need your help.

If SciPy has been significant in your research, and you would like to acknowledge the project in your academic publication, we suggest citing the following paper:

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.

It switches between two implementations depending on the problem definition. It is the most versatile constrained minimization algorithm implemented in SciPy and the most appropriate …

Numpy and Scipy Documentation Welcome! This is the documentation for Numpy and Scipy. For contributors: Numpy developer guide Scipy developer guide Latest releases: Complete Numpy …

Jul 10, 2024 · It supports various backends, including numpy, scipy, numba, cupy, pytorch, and jax, allowing users to choose the most suitable option for their computational environment.