Hands-On APIs for AI and Data Science: Python Development with FastAPI Author: Ryan Day

Hands-On APIs for AI and Data Science by Ryan Day is a practical and project-oriented guide designed to empower Python developers, data scientists, and machine learning engineers to harness the full potential of FastAPI in building modern, scalable APIs. FastAPI, a high-performance framework based on Python type hints, is rapidly gaining popularity for its ease of use and speed—and this book offers a complete roadmap for mastering it.

Whether you're working on data-driven dashboards, machine learning models, or production-ready AI services, Ryan Day walks you through building APIs that are robust, secure, and efficient. The book combines theory with actionable examples, covering topics such as:

Setting up FastAPI projects with async support

Connecting APIs to data science workflows and machine learning models

Creating endpoints for model training, prediction, and evaluation

Managing data validation and serialization

Using tools like Docker, OAuth2, and OpenAPI for deployment and documentation

With its accessible writing and real-world coding exercises, the book helps readers move from basic experimentation to professional-grade implementation. It emphasizes best practices and practical patterns that scale—from solo developers building passion projects to teams deploying enterprise applications.

Ideal for readers who want more than just functionality, Hands-On APIs for AI and Data Science is a gateway to building intelligent systems that interact meaningfully and efficiently with the wider digital ecosystem.