mathdocs 0.1.2

Render Python source files as Markdown with inline LaTeX math.

mathdocs

mathdocs renders ordinary Python source files as Markdown with inline LaTeX math. The renderer reads annotations, decorators, and docstrings statically — it never imports or executes the target module — so a .py file is the document.

Installation

pip install mathdocs

A small example

A complete, runnable Python file:

from typing import Annotated

import numpy as np
from mathdocs import Symbol, Tensor, render_as

"""
# Linear model

The prediction is a matrix-vector product plus a bias term, and the loss is
the residual norm scaled by the noise standard deviation.
"""

A: Annotated[np.ndarray, Tensor("A", ("i", "j"))]
x: Annotated[np.ndarray, Tensor("x", ("j",))]
b: Annotated[np.ndarray, Tensor("b", ("i",))]
y: Annotated[np.ndarray, Tensor("y", ("i",))]
sigma: Annotated[float, Symbol(r"\sigma")]


@render_as(latex=r"\left\|{0}\right\|")
def norm(v):
    return np.linalg.norm(v)


loss = norm(y - (A @ x + b)) / sigma

Render it:

mathdocs render linear_model.py

Output:

# Linear model

The prediction is a matrix-vector product plus a bias term, and the loss is
the residual norm scaled by the noise standard deviation.

$$
\operatorname{loss} = \frac{\left\|y_{i} - \left(A_{ij}x_{j} + b_{i}\right)\right\|}{\sigma}
$$

The Python module still type-checks and runs unchanged. The annotations and render_as decorator are metadata that the renderer reads from the source — nothing executes when MathDocs builds the document.

What the helpers do

• Symbol(latex) — annotate a scalar variable with how it should appear in math (e.g. sigma: Annotated[float, Symbol(r"\sigma")] renders as $\sigma$).
• Tensor(name, indices) — annotate an array with its tensor name and index labels; the renderer attaches the indices automatically when the variable appears in an expression.
• @render_as(latex="...") — give a function a LaTeX template. {0}, {1} etc. are filled with rendered argument expressions.
• render_figure(path, caption=...) — drop a pre-generated image into the output at a specific point. Useful when a script produces a plot beside the source it documents.

CLI

mathdocs render path/to/file.py        # print rendered Markdown
mathdocs symbols path/to/file.py       # list discovered symbols
mathdocs check path/to/file.py         # report diagnostics

python -m mathdocs <script.py> runs a Python script with the script directory added to sys.path — useful when a script needs to generate artifacts (plots, tables) before the renderer reads it.

The MathDocs project (including the VS Code extension) lives at https://github.com/bofrim/mathdocs.