Performant SciPy wraps highly-optimized implementations written in low-level languages like Fortran, C, and C++. Enjoy the flexibility of Python with the speed of compiled code.

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 itself, including …

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.

Numpy and Scipy Documentation ¶ Welcome! This is the documentation for Numpy and Scipy. For contributors:

It adds significant power to Python by providing the user with high-level commands and classes for manipulating and visualizing data. Subpackages and User Guides #

Several conferences dedicated to scientific computing in Python - SciPy, EuroSciPy, and SciPy.in. The SciPy library, one component of the SciPy stack, providing many numerical routines.

SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages:

In the following, a SciPy module is defined as a Python package, say yyy, that is located in the scipy/ directory. Ideally, each SciPy module should be as self-contained as possible.

The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines, such as routines for numerical integration, interpolation, …

PyMC: Bayesian statistical modeling, probabilistic machine learning. scikit-learn: classification, regression, model selection. Seaborn: statistical data visualization. rpy2: Python to R bridge. …