Developing APIs with Python and FastAPI Training Course

Introduction

• Comparison: FastAPI versus Django and Flask
• Key features and benefits of the FastAPI framework

Initial Setup

• Installation procedures for FastAPI
• Structuring schemas via OpenAPI

Managing Path and Query Parameters

• Specifying types for path parameters
• Data parsing and validation techniques
• Defining mandatory versus optional parameters
• Type conversion for query parameters
• Handling multiple path and query arguments

Request Bodies with Pydantic Models

• Constructing data models
• Integrating path, query, and body parameters
• Setting up validation rules and metadata
• Utilizing deeply nested model structures
• Defining sample data
• Response structures and auxiliary models

Form and File Handling

• Utilizing form fields as an alternative to JSON
• Defining file input parameters
• Managing combined file and form inputs

Error Management

• Implementing HTTPException
• Incorporating custom headers
• Registering custom exception handlers
• Modifying default exception behavior

Database Integration

• ORM concepts and project file architecture
• Developing SQLAlchemy components
• Building database models
• Creating corresponding Pydantic models
• Executing CRUD operations
• Setting up tables, dependencies, and path operations
• Code review and file verification
• Database interaction patterns

Security and Authentication

• Implementing Oauth2 and OpenID Connect
• Configuring multiple security schemes via OpenAPI
• Leveraging FastAPI’s security utilities

Deployment Strategies

• Core deployment concepts, phases, and toolsets
• Managing applications with Gunicorn and Uvicorn
• Utilizing container platforms such as Docker and Kubernetes

Troubleshooting

Conclusion and Future Directions