
SymPy
SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python. Get started with the tutorial Download Now
SymPy 1.13.3 documentation
SymPy is a Python library for symbolic mathematics. If you are new to SymPy, start with the introductory tutorial . This is the central page for all of SymPy’s documentation.
SymPy
SymPy es una biblioteca de Python para matemáticas simbólicas. Su propósito es llegar a ser un sistema de álgebra por computadora (CAS) completo manteniendo el código tan simple como sea posible para poder ser legible y extensible de manera fácil.
Introduction - SymPy 1.13.3 documentation
SymPy can simplify expressions, compute derivatives, integrals, and limits, solve equations, work with matrices, and much, much more, and do it all symbolically. It includes modules for plotting, printing (like 2D pretty printed output of math formulas, or \(\mathrm{\LaTeX}\) ), code generation, physics, statistics, combinatorics, number theory ...
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SymPy Tutorial
\SymPy is an open source Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be
Basic Operations - SymPy 1.13.3 documentation
Here we discuss some of the most basic operations needed for expression manipulation in SymPy. Some more advanced operations will be discussed later in the advanced expression manipulation section. >>> from sympy import * >>> x , y , z = symbols ( "x y z" )
Installation - SymPy 1.13.3 documentation
The SymPy CAS can be installed on virtually any computer with Python. SymPy does require mpmath Python library to be installed first. The recommended method of installation is through Anaconda, which includes mpmath, as well as several other useful libraries.
文档 - SymPy
这个文档使用 Sphinx Python文档生成器维护。 你可以在这里找到: docs.sympy.org
Calculus - SymPy 1.13.3 documentation
This section covers how to do basic calculus tasks such as derivatives, integrals, limits, and series expansions in SymPy. If you are not familiar with the math of any part of this section, you may safely skip it. >>>
Stats - SymPy 1.13.3 documentation
SymPy statistics module. Introduces a random variable type into the SymPy language. Random variables may be declared using prebuilt functions such as Normal, Exponential, Coin, Die, etc… or built with functions like FiniteRV. Queries on random expressions can be …