Master FastAPI to Build Secure, High-performance Web APIs with Modern Python— from Fundamentals to Full-scale Applications.
Key Features
? Comprehensive coverage of FastAPI from fundamentals to deployment.
? Build production-ready APIs by integrating authentication, databases, and async programming.
? Practical guidance on testing, scaling, and securing APIs for production.
Book Description
APIs are the backbone of today's interconnected digital world, powering everything from mobile apps to enterprise systems. Building them to be fast, scalable, and secure is critical for modern software success. Building High-Performance Web APIs with FastAPI shows you how to achieve exactly that—using Python's cutting-edge FastAPI framework.
Starting with RESTful API fundamentals and FastAPI's core principles, you will set up your development environment, install the framework, and explore its key features. You will progress through designing and validating data models with Pydantic, implementing authentication and authorization, handling file uploads, and integrating relational databases like SQLite, PostgreSQL, and MySQL.
From there, you will master testing and debugging techniques, learn deployment strategies with Docker and Kubernetes, and scale your APIs with best practices for performance and security. Real-world projects and step-by-step examples make each concept easy to grasp and apply.
Thus, by the end, you will have the skills and confidence to design, build, and deploy production-ready APIs that meet today's performance and reliability standards.
Hence, whether you are a developer, architect, or engineer, Building High-Performance Web APIs with FastAPI is your roadmap to mastering high-performance API development—start building the APIs your users deserve.
What you will learn
? Understand FastAPI's architecture and RESTful API principles.
? Set up a complete development environment, and install FastAPI.
? Design and validate request/response models with Pydantic.
? Implement authentication, authorization, and file handling.
? Connect to databases (SQLite, PostgreSQL, and MySQL) with SQLAlchemy.
? Deploy and scale FastAPI applications, using Docker and Kubernetes.
Table of Contents
1. Introduction to FastAPI and RESTful APIs
2. Setting Up the Development Environment
3. Installing FastAPI
4. Core Features of FastAPI
5. Dependency Injection
6. Request and Response Models with Pydantic
7. Authentication and Authorization
8. File Uploading
9. Connecting to Databases
10. Testing and Debugging
11. Deployment and Scalability
12. Managing Application Configuration
13. Building Practical Projects
14. Future of FastAPI
15. Appendices
Index
About the Authors
Girish Vas is a multi-domain Python expert, AI engineer, and backend architect with over 12 years of professional experience in software development. His career spans several industries—including healthcare, finance, wellness tech, e-commerce, edtech, and social media—where he has built scalable APIs, intelligent automation systems, and production-grade machine learning Solutions.
Starting with a passion for writing clean, maintainable Python code, Girish evolved into a full- fledged problem solver with hands-on experience in FastAPI, Django, SQLAlchemy, PostgreSQL, Redis, Docker, Kubernetes, and modern DevOps practices. His journey has included architecting real-world solutions such as DNA- based wellness applications, mental health bots, e-commerce platforms, RAG pipelines for knowledge retrieval, social media APIs, and trading dashboards—each with a strong focus on performance, security, and developer ergonomics.
