Python FastAPI Tutorial (Part 13): Pagination - Loading More Data with Query Parameters

Part 13 of a FastAPI tutorial series covers implementing pagination for a blog application. The tutorial walks through adding skip and limit query parameters with validation to the posts API endpoint, creating a PaginatedPostResponse schema with metadata (total, skip, limit, has_more), and using SQLAlchemy's offset/limit for database-level pagination. On the frontend, a hybrid approach is used: the first batch is server-side rendered via Jinja2, and subsequent batches are loaded dynamically via JavaScript with a 'Load More' button. The same pattern is applied to user-specific post pages. Key points include ordering results for consistent pagination, capping limit at 100 to prevent abuse, and manually serializing nested relationships when constructing response objects.