title

SciPy - Installation

description

Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.

charset

utf-8

viewport

width=device-width, initial-scale=1, shrink-to-fit=no

x-ua-compatible

ie=edge

twitter:card

summary_large_image

twitter:image

https://scipy.org/images/logo.svg

twitter:title

Installation

twitter:description

Tip This page assumes that you are comfortable with using a terminal and happy to learn how to use a package manager. If you are a beginner and just want to get started with SciPy as quickly as possible, check out the beginner installation guide! The recommended method of installing SciPy depends on your preferred workflow. The common workflows can roughly be broken down into the following categories: Project-based (e.g. uv, pixi) (recommended for new users) Environment-based (e.g. pip, conda) (the traditional workflow) System package managers (not recommended) Building from source (for debugging and development) To install SciPy with static type stubs, see Installing with type stubs.

icon

/images/favicon.ico

stylesheet

/theme-css/sphinx-design/index.scss.min.acf226aa2ff428a500491b1393bef415c3883113dac542174f5814fba5532592.css

stylesheet

/theme-css/pst/bootstrap.scss.min.e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855.css

stylesheet

/theme-css/pst/pydata-sphinx-theme.scss.min.1032a66ba1e0ab03bfcbfd265dce1d831879c5ea9d57e8575a68eeeb887b617e.css

stylesheet

/theme-css/spht/index.scss.min.ad03de1683bb39a0d1b31395797b97188e59cda6d778c0671a99db0b4fb799a9.css

es

/es/install/

ja

/ja/install/

pt

/pt/install/