Developing APIs with Python and FastAPI Training Course

Introduction

• FastAPI vs. Django vs. Flask
• Overview of FastAPI features and advantages

Getting Started

• Installing FastAPI
• Defining a schema using OpenAPI

Path and Query Parameters

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

Declaring a Request Body with Pydantic Models

• Creating a data model
• Combining path, query, and body parameters
• Declaring validations and metadata
• Utilizing deeply nested models
• Defining example data
• Response and extra models

Defining Forms and Files

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

Handling Errors

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

Working with Databases

• ORMs and file structure
• Creating SQLAlchemy components
• Creating database models
• Creating Pydantic models
• Performing CRUD operations
• Creating tables, dependencies, and path operations
• Reviewing and checking files
• Interacting with the database

Security and Authentication

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

Deployments

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

Troubleshooting

Summary and Next Steps