Developing APIs with Python and FastAPI Training Course

Introduction

• FastAPI compared to Django and Flask
• Overview of FastAPI's features and benefits

Getting Started

• Installing FastAPI
• Defining schemas using OpenAPI

Path and Query Parameters

• Declaring path parameter types
• Parsing and validating data
• Defining required and optional parameters
• Converting query parameter types
• Handling multiple path and query parameters

Declaring Request Bodies with Pydantic Models

• Creating data models
• Combining path, query, and body parameters
• Defining validations and metadata
• Working with deeply nested models
• Specifying example data
• Utilizing response and additional models

Defining Forms and Files

• Using form fields instead of JSON
• Creating file parameters
• Utilizing file and form parameters

Error Handling

• Using HTTPException
• Adding custom headers
• Installing custom exception handlers
• Overriding default exception handlers

Working with Databases

• ORMs and file structure
• Setting up SQLAlchemy components
• Creating database models
• Creating Pydantic models
• Executing CRUD operations
• Creating tables, dependencies, and path operations
• Reviewing and verifying files
• Interacting with the database

Security and Authentication

• Utilizing OAuth2 and OpenID Connect
• Defining multiple security schemes with OpenAPI
• Leveraging FastAPI utilities

Deployment

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

Troubleshooting

Summary and Next Steps