📚 A complete roadmap to mastering FastAPI — from Python fundamentals to advanced backend development.
Includes structured notes, curated resources, and example projects.
-
01 – Python Fundamentals
Build a solid foundation in functions, OOP, type hints, data structures, virtual environments, and CLI tools. -
02 – FastAPI Setup & Basics
Learn to install FastAPI, write endpoints using path and query parameters, define Pydantic models, and explore auto-generated docs (Swagger UI / ReDoc). -
03 – Projects: Request Methods & Flow
Practice building examples that handle GET, POST, PUT, DELETE and advanced request–response patterns. -
04 – FastAPI in Motion
Dive deeper into client/server flow, routers, middleware, and dependency injection. -
05 – Structuring with SQLite (and transitioning to Production DBs)
Use SQLite with SQLAlchemy, then upgrade to PostgreSQL/MySQL as your app scales. -
06 – Authentication & Authorization
Set up user models, password hashing, JWT authentication with role-based permissions, and protected endpoints. -
07 – Authenticated Access Flow
Learn how to log in via OAuth2, decode JWTs, and ensure users only access their own data. -
08 – Managing Migrations with Alembic
Generate migrations, apply them (upgrade/downgrade), and synchronize your FastAPI models. -
09 – Adding DB Columns Safely
Example migration: adding thephone_numberfield with null-handling and updating models. -
10 – Testing in FastAPI
Write tests usingpytest, utilize fixtures vs. class-style setups, and create clean, maintainable tests.
- Start from Python Fundamentals, unless you're already confident in them.
- Progress through each section in order, working through the notes and applying them hands-on.
- Open the
/notesfolder for step-by-step explanations and real examples. - Practice using Swagger UI, look at migrations in Alembic, and test your ideas with
pytest.
By following this roadmap, you'll build scalable, secure APIs with FastAPI, backed by PostgreSQL, migrations, authentication, and solid testing practices.