Developing APIs with Python and FastAPI Training Course

Introduction

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

Getting Started

• Installation of FastAPI
• Schema definition using OpenAPI

Path and Query Parameters

• Specifying path parameter types
• Data parsing and validation techniques
• Defining mandatory 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 up validations and metadata
• Utilizing deeply nested models
• Specifying example data
• Handling response and additional models

Forms and Files

• Utilizing form fields in place of JSON
• Defining file parameters
• Working with file and form inputs

Error Management

• Implementing HTTPException
• Adding custom headers
• Setting up custom exception handlers
• Modifying default exception handlers

Database Integration

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

Security and Authentication

• Applying Oauth2 and OpenID Connect
• Configuring multiple security schemes via OpenAPI
• Leveraging FastAPI security utilities

Deployment

• Deployment strategies, stages, and tools
• Managing Gunicorn and Uvicorn
• Utilizing container systems like Docker and Kubernetes

Troubleshooting

Wrap-up and Future Steps