Developing APIs with Python and FastAPI Training Course

Introduction

• Comparing FastAPI with Django and Flask
• Overview of key FastAPI features and benefits

Getting Started

• Installation of FastAPI
• Defining schemas using OpenAPI

Path and Query Parameters

• Specifying path parameter types
• Data parsing and validation
• Defining required and optional parameters
• Conversion of query parameter types
• Handling multiple path and query parameters

Declaring Request Bodies with Pydantic Models

• Constructing data models
• Integrating path, query, and body parameters
• Specifying validations and metadata
• Utilizing deeply nested models
• Defining example data
• Response structures and additional models

Handling Forms and Files

• Employing form fields as an alternative to JSON
• Creating file parameters
• Using file and form parameters in conjunction

Error Handling

• Utilizing HTTPException
• Incorporating custom headers
• Installing custom exception handlers
• Overriding default exception handlers

Database Integration

• ORM concepts and file organization
• Constructing SQLAlchemy components
• Creating database models
• Developing Pydantic models
• Executing CRUD operations
• Establishing tables, dependencies, and path operations
• Code review and file verification
• Database interaction patterns

Security and Authentication

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

Deployment

• Deployment strategies, stages, and tools
• Working with Gunicorn and Uvicorn
• Utilizing container systems (Docker and Kubernetes)

Troubleshooting

Conclusion and Future Steps