SciPy
WEBAug 20, 2024 · SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems.
SciPy documentation — SciPy v1.14.1 Manual
WEBAug 21, 2024 · SciPy (pronounced “Sigh Pie”) is an open-source software for mathematics, science, and engineering. User guide The user guide provides in-depth information on the key concepts of SciPy with useful background information and explanation.
SciPy - Installation
WEBInstallation. Installations methods include: Methods differ in ease of use, coverage, maintenance of old versions, system-wide versus local environment use, and control. With pip or Anaconda's conda, you can control the package versions for a specific project to prevent conflicts.
SciPy User Guide — SciPy v1.14.1 Manual
WEBSciPy 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 for manipulating and visualizing data.
Optimization (scipy.optimize) — SciPy v1.14.1 Manual
WEBThe scipy.optimize package provides several commonly used optimization algorithms. A detailed listing is available: scipy.optimize (can also be found by help(scipy.optimize)). Unconstrained minimization of multivariate scalar functions (minimize) #
Numpy and Scipy Documentation
WEBThis is the documentation for Numpy and Scipy. For contributors: Numpy developer guide. Scipy developer guide. Latest releases: Complete Numpy Manual. [HTML+zip] Numpy …
Statistical functions (scipy.stats) — SciPy v1.14.1 Manual
WEBStatistical functions (scipy.stats)# This module contains a large number of probability distributions, summary and frequency statistics, correlation functions and statistical tests, masked statistics, kernel density estimation, quasi-Monte Carlo functionality, and more.
SciPy - Frequently Asked Questions
WEBSciPy is a set of open source (BSD licensed) scientific and numerical tools for Python. It currently supports special functions, integration, ordinary differential equation (ODE) solvers, gradient optimization, parallel programming tools, an expression-to-C++ compiler for fast execution, and others.
SciPy API — SciPy v1.14.1 Manual
WEBIn 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 for SciPy, and give some recommendations for how to …
Linear algebra (scipy.linalg) — SciPy v1.14.1 Manual
WEBBasics #. inv (a [, overwrite_a, check_finite]) Compute the inverse of a matrix. solve (a, b [, lower, overwrite_a, ...]) Solves the linear equation set a @ x == b for the unknown x for square a matrix. solve_banded (l_and_u, ab, b [, overwrite_ab, ...]) Solve the equation a x = b for x, assuming a is banded matrix.