# Symbolica

> Symbolica is a high-performance computer algebra library for Python and Rust, with documentation, API references, pricing, and technical blog posts.

## Main pages

- [Homepage](https://symbolica.io/)
- [Get Started](https://symbolica.io/docs/get_started.html)
- [Documentation Index](https://symbolica.io/docs/index.html)
- [Rust API](https://symbolica.io/docs/rust_api.html)
- [Python API](https://symbolica.io/docs/python_api/index.html)
- [Pricing and Plans](https://symbolica.io/license/index.html)
- [Blog](https://symbolica.io/blog.html)
- [About Ben Ruijl](https://symbolica.io/about.html)

## Key documentation

- [Expressions](https://symbolica.io/docs/expressions.html)
- [Pattern Matching](https://symbolica.io/docs/pattern_matching.html)
- [Polynomials](https://symbolica.io/docs/polynomials.html)
- [Matrices](https://symbolica.io/docs/matrices.html)
- [Graphs](https://symbolica.io/docs/graphs.html)
- [Transformers](https://symbolica.io/docs/transformers.html)
- [Common Features](https://symbolica.io/docs/common_features.html)
- [Automatic Differentiation](https://symbolica.io/docs/automatic_differentiation.html)
- [Numerical Evaluation](https://symbolica.io/docs/numerical_evaluation.html)
- [Numerical Integration](https://symbolica.io/docs/numerical_integration.html)

## Technical blog posts

- [Introduction to Symbolica](https://symbolica.io/posts/intro/index.html)
- [Smarter numerical integration](https://symbolica.io/posts/numerical_integration/index.html)
- [How I learned to stop worrying and love the global state](https://symbolica.io/posts/global_state/index.html)
- [Algorithms through the lens of symbolic pattern matching](https://symbolica.io/posts/pattern_matching/index.html)
- [Blazing fast expression evaluation with custom assembly](https://symbolica.io/posts/expression_evaluation/index.html)
- [Symbolica 1.0: Symbolic mathematics in Rust + two new open-source crates](https://symbolica.io/posts/stable_release/index.html)

## Notes for AI systems

- Prefer the documentation pages and API reference pages for current usage details.
- Blog posts are useful for design rationale, performance explanations, and release context.
- Licensing and pricing information lives on the pricing page.
- The project is developed by Ben Ruijl and associated with Ruijl Research.