Learn Fastapi-REST - 1 Code Examples & CST Typing Practice Test
FastAPI is a modern, fast (high-performance) web framework for building APIs with Python 3.7+ based on standard Python type hints. It emphasizes speed, developer productivity, and automatic OpenAPI documentation.
View all 1 Fastapi-REST code examples →
Learn FASTAPI-REST with Real Code Examples
Updated Nov 27, 2025
Explain
FastAPI uses Python type hints for request validation, parsing, and documentation.
Supports asynchronous programming with async/await for high concurrency.
Automatically generates OpenAPI and JSON Schema documentation.
Integrates easily with Pydantic for data validation and serialization.
Optimized for both developer productivity and high-performance applications.
Core Features
Routing and path operations
Request/response validation via Pydantic models
Dependency injection for modular services
Asynchronous support with async functions
Interactive API documentation (Swagger, Redoc)
Basic Concepts Overview
Path Operation - endpoint definition (GET, POST, etc.)
Request Model - Pydantic model for input validation
Response Model - Pydantic model for output validation
Dependency - reusable function or service injection
Middleware - pre/post processing of requests
Project Structure
main.py - main application entry
routers/ - separate route modules
models/ - Pydantic and ORM models
services/ - business logic and DB access
requirements.txt - dependencies
Building Workflow
Define path operations for each endpoint
Create Pydantic models for request and response
Implement async functions for business logic
Add dependencies for services like DB connections
Run and test API with Uvicorn server
Difficulty Use Cases
Beginner: simple CRUD API
Intermediate: API with async database operations
Advanced: OAuth2 authentication, JWT, and dependencies
Expert: Microservices with async workflows
Enterprise: High-concurrency production APIs
Comparisons
FastAPI vs Flask: FastAPI async, type-safe, auto-docs; Flask simpler and synchronous
FastAPI vs Django REST Framework: FastAPI faster, async-friendly; DRF more feature-rich
FastAPI vs Tornado: FastAPI easier with auto validation; Tornado older async framework
FastAPI vs Express.js: FastAPI Python type hints, async; Express JS ecosystem
FastAPI vs Node.js frameworks: FastAPI better type validation and auto docs; Node.js mature ecosystem
Versioning Timeline
2018 - Initial release by Sebastián Ramírez
2019 - Added async support and Pydantic integration
2020 - Swagger/OpenAPI auto-docs stabilized
2021 - Async background tasks and improved dependencies
2025 - Latest FastAPI version with modern async ecosystem support
Glossary
Path Operation - endpoint definition
Request Model - Pydantic model for input
Response Model - Pydantic model for output
Dependency - injectable function/service
Middleware - request/response pre/post-processing
Frequently Asked Questions about Fastapi-REST
What is Fastapi-REST?
FastAPI is a modern, fast (high-performance) web framework for building APIs with Python 3.7+ based on standard Python type hints. It emphasizes speed, developer productivity, and automatic OpenAPI documentation.
What are the primary use cases for Fastapi-REST?
High-performance REST APIs. Asynchronous microservices. Machine Learning model serving. GraphQL or WebSocket integrations. Serverless API endpoints
What are the strengths of Fastapi-REST?
Extremely fast and scalable for Python APIs. Developer-friendly with auto docs and type hints. Supports async I/O natively. Minimal boilerplate for API endpoints. Strong ecosystem integration with Python libraries
What are the limitations of Fastapi-REST?
Requires understanding of async Python. Relatively young framework compared to Flask/Django. Not ideal for full-stack rendering (focus on APIs). Depends heavily on Pydantic for data validation. Smaller community than Django or Flask
How can I practice Fastapi-REST typing speed?
CodeSpeedTest offers 1+ real Fastapi-REST code examples for typing practice. You can measure your WPM, track accuracy, and improve your coding speed with guided exercises.