These are excellent best practices for incorporating SQL queries in Python projects. They provide a robust foundation for building scalable and maintainable code. Here’s a brief summary of each point, along with some additional insights:

Separate SQL Files/Directory: Storing SQL queries in a dedicated directory (queries/ or sql/) keeps the project organized. Clear file naming (e.g., create_table.sql, fetch_data.sql) ensures quick access to specific queries.

Dynamic Query Loading: Using a function like load_query to read from .sql files keeps Python code uncluttered and focuses Python scripts on logic rather than SQL syntax.