Developing APIs with Python and FastAPI Training Course

Introduction

• Comparing FastAPI with Django and Flask
• Key features and benefits of FastAPI

Getting Started

• Setting up FastAPI
• Defining schemas with OpenAPI

Path and Query Parameters

• Specifying path parameter types
• Data parsing and validation techniques
• Distinguishing between required and optional parameters
• Type conversion for query parameters
• Managing multiple path and query parameters

Request Bodies with Pydantic Models

• Building data models
• Integrating path, query, and body parameters
• Setting validations and metadata
• Working with deeply nested structures
• Defining example data
• Handling responses and additional models

Forms and Files

• Utilizing form fields over JSON
• Creating file parameters
• Combining file and form inputs

Error Handling

• Implementing HTTPException
• Adding custom headers
• Registering custom exception handlers
• Overriding default exception behaviors

Database Integration

• Understanding ORMs and project structure
• Building SQLAlchemy components
• Defining database models
• Creating corresponding Pydantic models
• Executing CRUD operations
• Setting up tables, dependencies, and path operations
• Code review and file inspection
• Interacting with the database

Security and Authentication

• Implementing Oauth2 and OpenID connect
• Defining multiple security schemes via OpenAPI
• Leveraging FastAPI security utilities

Deployments

• Deployment strategies, stages, and tooling
• Using Gunicorn and Uvicorn
• Containerization with Docker and Kubernetes

Troubleshooting

Wrap-up and Future Steps