MLOps Industrialization

To convert Python notebooks into a distributable package, transition your prototype code into a standardized src/ layout with modular domain and I/O layers. This structure enables proper packaging and deployment via a pyproject.toml file.

Using a src layout for Python packaging ensures your source code is contained strictly under the src/ directory to avoid local import errors during development. It separates pure domain logic from impure I/O and orchestration layers cleanly.

You manage configuration in a Python package with OmegaConf and Pydantic by decoupling config files from your code and validating inputs strictly. This approach maintains robust configuration management without hardcoding variables in scripts.

You register a CLI entry point in pyproject.toml by defining your executable commands under the [project.scripts] table. This creates installable CLI tools ready for CI/CD pipelines and production deployment.

The best way to structure Python code for CI/CD and deployment is enforcing a src layout with modular domain, I/O, and application layers. Combining this with strict configuration management produces a robust, distributable Python package.

Yes, you need a pyproject.toml file to package a Python prototype into a distributable format. It defines your project metadata, dependencies, and CLI entry points required for standard Python packaging workflows.