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SQLModel Learning Path

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Modern Python apps often force you to juggle separate libraries for validation and database models—creating duplication and extra maintenance.

SQLModel streamlines this by unifying Pydantic and SQLAlchemy into one type-safe model layer you can use for both database tables and API schemas.

In this Learning Path, you'll build the backend for a workout tracking app from the ground up: defining tables, managing sessions, and implementing CRUD. You’ll then move into relationships (one-to-many, many-to-many) and more advanced schema design. Finally, you’ll integrate everything with FastAPI to ship a clean, production-ready REST API.

Created on: Jan 19, 2026

Bites in this Path:

# Title
1 Your First SQLModel Tables
2 Session Management & Basic Inserts
3 Reading Data with Select
4 Update and Delete Operations
5 One-to-Many Relationships
6 Many-to-Many Relationships
7 Advanced Link Table Relationships
8 Model Inheritance and API Schemas
9 FastAPI Integration - Basic Endpoints
10 FastAPI Integration - Complex Queries