FastAPI: Fast & Modern API Development Wallace Espindola Software Engineer & Architect

● What is FastAPI ● Advantages and disadvantages ● Where are the good things ● Being compact and simple ● Top technologies used ● What market says ● How to start ● Tricks and threats Schedule

Main learning takeaways 1) Discover FastAPI as technology for APIs; 2) Step-by-step on how to start, implement and run it; 3) Advantages and disadvantages; 4) Tips and tricks.

About me ● Brazilian from Rio de Janeiro ● 20+ years in IT career ● Living in Belgium since 2017 ● Profile: SW development & architecture ● Stack: Back-end / Java / Python / APIs / Web ● Speaks: English, Portuguese, French and basic Spanish ● Experience in many industries: Government, Oil&Gas, Banking, Telecom, Defense, Education, MedTech.

Introduction to FastAPI ● Modern framework built for quick & efficient API development ● Uses async/await for non-blocking I/O ● Auto-generated interactive docs (Swagger UI & ReDoc) ● Built on Starlette & Pydantic ● Born in Dec, 2018 ● License MIT

Key Components of FastAPI ● Pydantic: Data validation library that uses Python type hints for schema validation and serialization. ● Starlette: Lightweight ASGI framework enabling async functionality in Python. ● Uvicorn: Minimal ASGI server with a multi-process model for handling HTTP requests. ● OpenAPI Integration: Auto-generates interactive API docs (Swagger UI & ReDoc) for real-time endpoint exploration and testing.

FastAPI in Action – A Basic API Example ● Define endpoints with minimal code ● Use Pydantic for data models and validation ● May be run asynchronously ● Auto-documented APIs with /docs or /redoc ● Simple, compact and fast

Code Breakdown – What’s Happening? ● Route Definitions: ○ / : Welcome message, hello word! (isAlive endpoint) ○ /items/{item_id} : Handles path & query parameters ○ /items/ : POST endpoint with JSON body validation ● Key Benefits: ○ Reduced boilerplate code ○ Built-in error handling via data validation

Dependency Injection Reusable logic with dependency injection:

Background Tasks Run tasks in the background without delaying responses:

Getting Started Installation*: Run: Explore interactive docs at: *Creating a virtual environment is always recommended.

Why Choosing FastAPI? Benefits: • Clean, intuitive syntax • High performance & scalability • Built-in data validation • Ideal for microservices, ML APIs, & real-time apps

Why in Python? Top programming language, great ascension: Reference: https://www.tiobe.com/tiobe-index/

Why in Python? Top programming language, great ascension: Reference: https://github.blog/news-insights/octoverse/octoverse-2024/

Yes, demo time!

If something went wrong, we have a workaround ;)

If something went wrong, we have a workaround ;)

The auto documentation endpoints

References https://www.tiobe.com/tiobe-index/ https://github.blog/news-insights/octoverse/octoverse-2024/ https://fastapi.tiangolo.com/ https://github.com/fastapi/fastapi https://github.com/Redocly/redoc https://github.com/swagger-api/swagger-ui https://docs.pydantic.dev/latest/ https://github.com/pydantic/pydantic https://www.starlette.io/ https://www.python.org/ https://en.wikipedia.org/wiki/FastAPI

Questions, insights, ideas Q&A / Discussion

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