osl-edu-math 0.4.1

Python tools for math education workflows.

edu-math

edu-math is a Python package for math education workflows.

The PyPI distribution is osl-edu-math; the import package remains edumath.

The project is in its initial scaffold stage. The repository includes packaging, testing, linting, documentation, release automation, and GitHub workflow infrastructure adapted from the Open Science Labs Incubator Python package template used by prisma-flow.

Installation

pip install osl-edu-math

Symbolic equation solving

edumath.solvers provides SymPy-backed equation solving with structured solution steps. The math is computed locally and can be used without any API key:

from edumath.core import parse_equation
from edumath.solvers import solve_equation_steps

equation = parse_equation("2(x - 3) + 4 = 10")
solution = solve_equation_steps(equation)
print(solution.answer)
print(solution.render_text())

Optional AI tutor explanations can be enabled through edumath.settings. The AI text is added after SymPy/edumath has solved and checked the equation, so the symbolic result remains the source of truth:

from edumath.core import parse_equation
from edumath.settings import configure
from edumath.solvers import solve_equation_steps

configure(openai_api_key="YOUR_OPENAI_API_KEY")
equation = parse_equation("2(x - 3) + 4 = 10")
solution = solve_equation_steps(equation, explain=True)
print(solution.explanation)

Development

conda env create -f conda/dev.yaml
conda activate edumath
poetry config virtualenvs.create false
poetry install --extras "dev"

Run checks through Makim:

makim tests.linter
makim tests.unit
makim package.build
makim docs.build

Project layout

• src/edumath/: Python package source
• tests/: pytest test suite
• docs/: Quarto documentation website
• conda/: development and release environment files
• .github/: issue templates and GitHub Actions workflows