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 * Welcome to SymPy’s documentation!


WELCOME TO SYMPY’S DOCUMENTATION!¶

A PDF version of these docs can be found here.

SymPy is a Python library for symbolic mathematics. If you are new to SymPy,
start with the Tutorial.

This is the central page for all of SymPy’s documentation.

Contents:

 * Installation
   * Anaconda
   * Git
   * Other Methods
   * Run SymPy
   * Mpmath
   * Questions
 * SymPy Tutorial
   * Preliminaries
   * Introduction
   * Gotchas
   * Basic Operations
   * Printing
   * Simplification
   * Calculus
   * Solvers
   * Matrices
   * Advanced Expression Manipulation
 * Gotchas and Pitfalls
   * Introduction
   * Equals Signs (=)
   * Variables
   * Symbolic Expressions
   * Special Symbols
   * Getting help from within SymPy
 * SymPy Modules Reference
   * abc
   * Algebras
   * Assumptions
   * Calculus
   * Category Theory
   * Code Generation
   * Combinatorics
   * Concrete
   * Core
   * Cryptography
   * Differential Geometry
   * Diophantine
   * Discrete
   * Numerical Evaluation
   * Functions
   * Geometry
   * Holonomic
   * Inequality Solvers
   * Integrals
   * Computing Integrals using Meijer G-Functions
   * The G-Function Integration Theorems
   * The Inverse Laplace Transform of a G-function
   * Implemented G-Function Formulae
   * Internal API Reference
   * Interactive
   * Lie Algebra
   * Logic
   * Matrices
   * Number Theory
   * Numeric Computation
   * ODE
   * Parsing
   * PDE
   * Physics
   * Plotting
   * Polynomial Manipulation
   * Printing
   * Term Rewriting
   * Series
   * Sets
   * Simplify
   * Solvers
   * Solveset
   * Stats
   * Tensor
   * Testing
   * Utilities
   * Vector
   * Contributions to Docs
 * SymPy Special Topics
   * Introduction
   * Finite Difference Approximations to Derivatives
   * Classification of SymPy objects
 * Wiki
   * FAQ
 * SymPy Papers
 * Planet SymPy
 * SymPy logos
 * Blogs, News, Magazines
 * About
   * SymPy Development Team
   * Financial and Infrastructure Support
   * License
 * Citing SymPy
 * SymPy Documentation Style Guide
   * General Guidelines
   * Types of Documentation
   * Getting Started
   * Narrative Documentation Guidelines
   * Docstring Guidelines
   * Sample Docstring
   * Docstrings for Classes that are Mathematical Functions
   * Best Practices for Writing Docstrings
   * Importing Docstrings into the Sphinx Documentation
   * Cross-Referencing



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SymPy 1.8 (latest release)

SymPy 1.10.dev (development version)

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© Copyright 2021 SymPy Development Team. Last updated on Apr 09, 2021. Created
using Sphinx 3.3.1.



SYMPY LIVE SHELL

Python console for SymPy 1.5.1 (Python 2.7.12) These commands were executed: >>>
from __future__ import division >>> from sympy import * >>> x, y, z, t =
symbols('x y z t') >>> k, m, n = symbols('k m n', integer=True) >>> f, g, h =
symbols('f g h', cls=Function)
>>>
Completions here

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