- SymPy Tutorial
- SymPy - Home
- SymPy - Introduction
- SymPy - Installation
- SymPy - Symbolic Computation
- SymPy - Numbers
- SymPy - Symbols
- SymPy - Substitution
- SymPy - sympify() function
- SymPy - evalf() function
- SymPy - Lambdify() function
- SymPy - Logical Expressions
- SymPy - Querying
- SymPy - Simplification
- SymPy - Derivative
- SymPy - Integration
- SymPy - Matrices
- SymPy - Function class
- SymPy - Quaternion
- SymPy - Solvers
- SymPy - Plotting
- SymPy - Entities
- SymPy - Sets
- SymPy - Printing
- SymPy Useful Resources
- SymPy - Quick Guide
- SymPy - Useful Resources
- SymPy - Discussion
SymPy - Introduction
SymPy is a Python library for performing symbolic computation. It is a computer algebra system (CAS) that can be used either as a standalone application, as a library to other applications. Its live session is also available at https://live.sympy.org/. Since it is a pure Python library, it can be used as interactive mode and as a programmatic application. SymPy has now become a popular symbolic library for the scientific Python ecosystem.
SymPy has a wide range of features applicable in the field of basic symbolic arithmetic, calculus, algebra, discrete mathematics, quantum physics, etc. SymPy is capable of formatting the results in variety of formats including LaTeX, MathML, etc. SymPy is distributed under New BSD License. A team of developers led by Ondřej Čertík and Aaron Meurer published first version of SymPy in 2007. Its current version is 1.5.1.
Some of the areas of applications of SymPy are −
- Polynomials
- Calculus
- Discrete maths
- Matrices
- Geometry
- Plotting
- Physics
- Statistics
- Combinatorics