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API Engineering with Python and FastAPI: Backend Service Design, Security Practices, and Deployment Patterns
Reactive PublishingModern API development requires more than writing endpoints. It demands clear service design, reliable data handling, authentication patterns, testing discipline, deployment awareness, and an understanding of how backend systems operate beyond the local development environment.
API Engineering with Python and FastAPI is a practical guide to building backend services using Python and FastAPI, with a focus on structure, maintainability, and real-world engineering workflows. The book introduces the core concepts behind API design, request handling, data validation, authentication, database integration, testing, documentation, and deployment-oriented development.
Inside, readers will explore how FastAPI supports modern backend development through type hints, dependency injection, asynchronous programming, automatic documentation, and structured application design. The book also covers common backend concerns such as routing, schemas, middleware, error handling, security practices, environment configuration, logging, monitoring concepts, and service organization.
Designed for developers who want to move beyond basic API tutorials, this book emphasizes practical engineering how to structure projects, separate concerns, manage configuration, test endpoints, document services, and prepare applications for more robust deployment workflows.
Topics
REST API design principlesFastAPI application structurePydantic models and data validationAuthentication and authorization patternsDatabase integration with PythonAsync workflows and background tasksMiddleware, exception handling, and loggingTesting APIs and backend servicesOpenAPI documentationDeployment workflows and operational considerationsWhether you are building internal tools, SaaS backends, data services, automation platforms, or application APIs, API Engineering with Python and FastAPI provides a structured foundation for designing backend services with clarity, reliability, and long-term maintainability.
API Engineering with Python and FastAPI is a practical guide to building backend services using Python and FastAPI, with a focus on structure, maintainability, and real-world engineering workflows. The book introduces the core concepts behind API design, request handling, data validation, authentication, database integration, testing, documentation, and deployment-oriented development.
Inside, readers will explore how FastAPI supports modern backend development through type hints, dependency injection, asynchronous programming, automatic documentation, and structured application design. The book also covers common backend concerns such as routing, schemas, middleware, error handling, security practices, environment configuration, logging, monitoring concepts, and service organization.
Designed for developers who want to move beyond basic API tutorials, this book emphasizes practical engineering how to structure projects, separate concerns, manage configuration, test endpoints, document services, and prepare applications for more robust deployment workflows.
Topics
REST API design principlesFastAPI application structurePydantic models and data validationAuthentication and authorization patternsDatabase integration with PythonAsync workflows and background tasksMiddleware, exception handling, and loggingTesting APIs and backend servicesOpenAPI documentationDeployment workflows and operational considerationsWhether you are building internal tools, SaaS backends, data services, automation platforms, or application APIs, API Engineering with Python and FastAPI provides a structured foundation for designing backend services with clarity, reliability, and long-term maintainability.
636 pages, Kindle Edition
Published May 2, 2026
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