- SymPy - Discussion
- SymPy - Useful Resources
- SymPy - Quick Guide
- SymPy - Printing
- SymPy - Sets
- SymPy - Entities
- SymPy - Plotting
- SymPy - Solvers
- SymPy - Quaternion
- SymPy - Function class
- SymPy - Matrices
- SymPy - Integration
- SymPy - Derivative
- SymPy - Simplification
- SymPy - Querying
- SymPy - Logical Expressions
- SymPy - Lambdify() function
- SymPy - evalf() function
- SymPy - sympify() function
- SymPy - Substitution
- SymPy - Symbols
- SymPy - Numbers
- SymPy - Symbolic Computation
- SymPy - Installation
- SymPy - Introduction
- SymPy - Home
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
SymPy - Introduction
SymPy is a Python pbrary for performing symbopc computation. It is a computer algebra system (CAS) that can be used either as a standalone apppcation, as a pbrary to other apppcations. Its pve session is also available at
. Since it is a pure Python pbrary, it can be used as interactive mode and as a programmatic apppcation. SymPy has now become a popular symbopc pbrary for the scientific Python ecosystem.SymPy has a wide range of features apppcable in the field of basic symbopc 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 pubpshed first version of SymPy in 2007. Its current version is 1.5.1.
Some of the areas of apppcations of SymPy are −
Polynomials
Calculus
Discrete maths
Matrices
Geometry
Plotting
Physics
Statistics
Combinatorics