What problem does it solve?
SymPy enables exact symbolic mathematics in Python, allowing you to manipulate expressions, solve equations, and perform calculus without numeric approximation, ideal for precise reasoning and mathematical reporting.
Core Features & Use Cases
- Symbolic computation basics: create symbols, apply assumptions, simplify, factor, expand, and substitute.
- Calculus, algebra, and beyond: differentiate, integrate, limits, series, solve algebraic and differential equations, and manipulate matrices symbolically.
- Geometry, physics, and code generation: geometry objects, physics computations, vector operations, and converting expressions to executable Python, C, or LaTeX code.
- Use Case: derive exact results, obtain closed-form solutions, or generate a Python function from a symbolic expression for numeric pipelines.
Quick Start
Install SymPy, define a symbol x, and compute the derivative of x squared to observe symbolic differentiation.