sympy/sympy
Sympy
SymPy is a Python computer algebra system and symbolic mathematics library. It performs algebraic manipulations, calculus, and equation solving using symbolic representations to achieve exact computations rather than numerical approximations.
The library includes a LaTeX expression parser that converts mathematical strings into symbolic representations for computation and formula manipulation. It also incorporates a mathematical benchmarking suite to measure execution speed and detect performance regressions across different software versions.
The system provides capabilities for automated math verification and scientific software benchmarking. It also supports LaTeX equation processing for the simplification and evaluation of mathematical notation.
Features
- Computer Algebra Systems - Implements a full computer algebra system for complex mathematical formulas and proofs in Python.
- Algebraic Reduction Rules - Transforms complex expressions into simpler forms by applying predefined algebraic rewrite rules.
- Computer Algebra Systems - Provides a comprehensive computer algebra system for symbolic mathematics using pure Python.
- Symbolic Computation Engines - Performs algebraic manipulations and solves equations using symbolic representations instead of numerical approximations.
- Symbolic Expression Manipulators - Provides a pure-Python engine for algebraically transforming mathematical expressions without numerical evaluation.
- Expression - Represents mathematical formulas as hierarchical trees of objects for symbolic manipulation and evaluation.
- Symbolic LaTeX Processing - Converts mathematical notation from LaTeX strings into computable forms for simplification and evaluation.
- LaTeX Expression Parsers - Provides a tool for converting LaTeX mathematical strings into symbolic representations for computation.
- Numerical Backend Dispatchers - Routes symbolic expressions to different external numerical libraries for high-precision or fast floating-point computation.
- LaTeX Parsers - Converts mathematical LaTeX strings into symbolic representations for computation and formula manipulation.
- Mathematical Verification - Provides test suites to ensure the correctness of symbolic computations and mathematical identities.
- Lazy Evaluation Patterns - Defers computation of complex symbolic results until a numerical value or simplified form is explicitly requested.
- Mathematical Benchmarking Suites - Ships a performance tracking system that measures execution speed and detects regressions in math operations.
- Scientific Computing - Library for symbolic mathematics.
- Data Analysis Visualization - Symbolic mathematics library for Python.
- Numerical Libraries - Library for symbolic mathematics and algebraic computation.
- Statistical Modeling - Library for symbolic mathematics and algebraic computation.
- Developer Tools - Library for symbolic mathematics.
- Python Projects - Listed in the “Python Projects” section of the Awesome For Beginners awesome list.
- Scientific Computing - Listed in the “Scientific Computing” section of the Awesome Python awesome list.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
