> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# sympy — AI agent skill for data science and ml

> Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX.

# `sympy`

> Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX. Prefer NumPy or SciPy when floating-point approximations are sufficient.

**Category:** [data-science-and-ml](/research-agent-skills/skills#data-science-and-ml) · **License:** [https://github.com/sympy/sympy/blob/master/LICENSE](https://github.com/sympy/sympy/blob/master/LICENSE) · **Version:** 1.3

## Install

```bash theme={null}
npx research-agent-skills install sympy
npx skills add KalarisLabs/research-agent-skills --skill sympy
```

## When to use it

Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX. Prefer NumPy or SciPy when floating-point approximations are sufficient.

## Full playbook

Read [SKILL.md](https://github.com/KalarisLabs/research-agent-skills/blob/main/skills/sympy/SKILL.md) for the complete workflow, references and any scripts. The agent installer copies the full skill folder.


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.