- SciPy
SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems
- SciPy - Installation
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 documentation — SciPy v1. 16. 2 Manual
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 the many options for customizing that build
- Numpy and Scipy Documentation
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 Manual [HTML+zip] Numpy Reference Guide [PDF] Numpy User Guide [PDF] F2Py Guide SciPy Documentation [HTML+zip]
- Integration (scipy. integrate) — SciPy v1. 16. 2 Manual
Integration (scipy integrate) # The scipy integrate sub-package provides several integration techniques including an ordinary differential equation integrator An overview of the module is provided by the help command:
|