Table of Contents
1
The Value Class: Wrapping Scalars in a Computation Graph
2
Backpropagation: Topological Sort and Gradient Flow
3
Neural Network Abstractions: Neuron, Layer, and MLP
4
Testing: Verifying Correctness Against PyTorch
5
Package Structure and the Public API
Library > karpathy/micrograd > Chapter 5

Package Structure and the Public API

This short chapter covers the packaging layer of micrograd: the __init__.py that defines the public namespace and setup.py that configures distribution. While not essential to understanding the autograd engine, these files reveal how the project is intended to be used and installed as a proper Python package.

The Public Namespace: What micrograd Exposes

The `__init__.py` file is intentionally minimal — it contains a single import line that brings the `nn` and `engine` modules into the `micrograd` namespace. This means a user who does `import micrograd` gets access to `micrograd.nn` and `micrograd.engine` directly, without needing to know the internal file structure. The package surface is deliberately small: there are only two user-facing modules, reflecting the library's philosophy of radical minimalism.

For a library of this size and educational purpose, a flat namespace is exactly right. Adding more structure (sub-packages, re-exports of specific classes) would add complexity without benefit. Users are expected to read the source, so keeping the import structure transparent and simple is a feature, not a limitation.

micrograd/__init__.py — package namespace (lines 1-1)

Package Distribution: setup.py

The `setup.py` uses `setuptools.find_packages()` to automatically discover the `micrograd` package directory, so no manual listing of modules is required. The README is ingested from the filesystem and passed as `long_description`, which is the text PyPI displays on the project's package page. This is a standard pattern for Python packages.

The `python_requires='>=3.6'` constraint reflects the use of f-strings (introduced in Python 3.6) in the codebase, and the generally modern Python style. The MIT license declaration and PyPI classifiers (development status, intended audience, topic) communicate the project's purpose and maturity to potential users browsing the package index. Version `0.1.0` following semantic versioning signals that this is an early but intentional public release.

setup.py — package metadata (lines 1-22)
Testing: Verifying Correctness Against PyTorch