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 …

The API reference is a detailed description of the SymPy API. Every SymPy function and class is enumerated here with detailed information on what each function does.

This tutorial aims to give an introduction to SymPy for someone who has not used the library before. Many features of SymPy will be introduced in this tutorial, but they will not be exhaustive.

With SymPy, you can just as easily use it in an interactive Python environment or import it in your own Python application. SymPy also provides APIs to make it easy to extend it with your own custom …

Number theory: generating prime numbers, primality testing, integer factorization, Diophantine equation solving...

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 …

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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 …

If you have a question about installation or SymPy in general, feel free to mail our mailing list. If you think there’s a bug or you would like to request a feature, please open an issue ticket.

文档 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