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Mastering FastAPI: Build High-Performance APIs with Python
Mastering Build High-Performance APIs with Python is your complete, hands-on guide to building lightning-fast, production-ready APIs using Python’s most modern web framework.
FastAPI combines the simplicity of Python with cutting-edge async capabilities, automatic data validation, and interactive documentation — making it the perfect tool for developers who want speed without sacrificing reliability. This book takes you from your very first FastAPI app to designing, deploying, and scaling complex API architectures for real-world use.
Inside, you’ll learn how
Build RESTful APIs with clean, maintainable code
Validate and serialize data with Pydantic
Add authentication with OAuth2, JWTs, and API keys
Implement WebSockets, GraphQL, and background tasks
Connect to databases using SQLAlchemy, SQLModel, and async patterns
Optimize performance with caching, profiling, and async best practices
Secure your APIs against the OWASP API Top 10 threats
Deploy to production using Docker, Kubernetes, and CI/CD pipelines
Monitor, log, and scale APIs with modern DevOps practices
With over 100 practical topics, you’ll master not just FastAPI itself, but the entire ecosystem — from architecture and performance tuning to security and observability. Each chapter is example-driven and immediately applicable, so you can build APIs that are fast to create, fast to run, and easy to maintain.
Whether you’re building microservices, data-driven applications, or real-time platforms, this book gives you the skills to deliver high-performance Python APIs with confidence.
FastAPI combines the simplicity of Python with cutting-edge async capabilities, automatic data validation, and interactive documentation — making it the perfect tool for developers who want speed without sacrificing reliability. This book takes you from your very first FastAPI app to designing, deploying, and scaling complex API architectures for real-world use.
Inside, you’ll learn how
Build RESTful APIs with clean, maintainable code
Validate and serialize data with Pydantic
Add authentication with OAuth2, JWTs, and API keys
Implement WebSockets, GraphQL, and background tasks
Connect to databases using SQLAlchemy, SQLModel, and async patterns
Optimize performance with caching, profiling, and async best practices
Secure your APIs against the OWASP API Top 10 threats
Deploy to production using Docker, Kubernetes, and CI/CD pipelines
Monitor, log, and scale APIs with modern DevOps practices
With over 100 practical topics, you’ll master not just FastAPI itself, but the entire ecosystem — from architecture and performance tuning to security and observability. Each chapter is example-driven and immediately applicable, so you can build APIs that are fast to create, fast to run, and easy to maintain.
Whether you’re building microservices, data-driven applications, or real-time platforms, this book gives you the skills to deliver high-performance Python APIs with confidence.
555 pages, Kindle Edition
Published August 7, 2025
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