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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
Introductory Tutorial - SymPy 1. 14. 0 documentation 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
Installation - SymPy 1. 14. 0 documentation If you wish to contribute to SymPy or like to get the latest updates as they come, install SymPy from git To download the repository, execute the following from the command line:
Calculus - SymPy 1. 14. 0 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
Basic Operations - SymPy 1. 14. 0 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
Features - SymPy Number theory: generating prime numbers, primality testing, integer factorization, Diophantine equation solving
SymPy Live Shell SymPy Live shell is powered by JupyterLite It can take up to 30 seconds before the shell code and libraries load completely and become available for using interactively