Claude.md for Python Data Science
# Project: Customer Analytics Pipeline ## Development Standards - **Language**: Python 3.11+ - **Code Style**: Follow PEP 8 strictly, use Black for formatting - **Type Hints**: Required for all function signatures and class definitions - **Documentation**: Docstrings required for all public functions and classes ## Workflow Requirements 1. Create feature branch: `analysis-[description]` or `model-[description]` 2. Write unit tests for all data processing functions 3. Run `pytest` and ensure all tests pass 4. Run `black .` and `flake8` before committing 5. Update relevant documentation in `/docs` if adding new features ## Project Structure - `/src/data`: Data ingestion and preprocessing modules - `/src/models`: ML model definitions and training scripts - `/src/analysis`: Exploratory analysis notebooks and scripts - `/src/utils`: Shared utility functions - `/tests`: Comprehensive test suite - `/configs`: Configuration files for different environments ## Data Handling Standards...
Comments
Post a Comment