Developing APIs with Python and FastAPI Training Course

Introduction

• Comparison of FastAPI, Django, and Flask for government applications
• Overview of FastAPI features and advantages for government use cases

Getting Started

• Installing FastAPI in a government environment
• Defining a schema using OpenAPI standards for government

Path and Query Parameters

• Declaring path parameter types for enhanced data integrity in government systems
• Parsing and validating data to ensure compliance with regulatory requirements
• Declaring required and optional parameters to support flexible government operations
• Converting query parameter types to facilitate seamless integration with existing government platforms
• Handling multiple path and query parameters for comprehensive data management in government applications

Declaring a Request Body with Pydantic Models

• Creating a data model to ensure consistent data representation for government processes
• Combining path, query, and body parameters to optimize API functionality for government services
• Declaring validations and metadata to enhance data accuracy and reliability in government systems
• Using deeply nested models to support complex data structures in government applications
• Defining example data to facilitate testing and development of government APIs
• Response and extra models for comprehensive API documentation and governance in government

Defining Forms and Files

• Using form fields instead of JSON to support diverse input methods for government users
• Creating file parameters to enable document management in government applications
• Utilizing file and form parameters to enhance user experience in government services

Handling Errors

• Using HTTPException to manage errors effectively in government APIs
• Adding custom headers to provide additional context for error responses in government systems
• Installing custom exception handlers to tailor error management for specific government requirements
• Overriding default exception handlers to ensure compliance with government standards

Working with Databases

• Object-Relational Mappers (ORMs) and file structure best practices for government applications
• Creating SQLAlchemy components to support robust database interactions in government systems
• Developing database models to ensure data integrity and security for government operations
• Creating Pydantic models to facilitate seamless data exchange in government APIs
• Performing CRUD (Create, Read, Update, Delete) operations to manage data efficiently for government
• Creating tables, dependencies, and path operations to support scalable government applications
• Reviewing and checking files to ensure compliance with government standards
• Interacting with the database to support real-time data processing in government services

Security and Authentication

• Using OAuth2 and OpenID Connect for secure authentication in government applications
• Defining multiple security schemes with OpenAPI to enhance access control for government systems
• Leveraging FastAPI utilities to streamline security implementation for government use cases

Deployments

• Deployment concepts, stages, and tools tailored for government environments
• Working with Gunicorn and Uvicorn to support high-performance government applications
• Utilizing container systems (Docker and Kubernetes) to ensure scalable and reliable deployment of government services

Troubleshooting

Summary and Next Steps